Dr. Jin-Kao Hao
 Full Professor (Computer Science)
(Professeur des Universités de classe exceptionnelle)
University of Angers
and
Institut Universitaire de France

 
LERIA (Former Director)
Faculty of Sciences - University of Angers
2, Boulevard Lavoisier, 49045 Angers Cedex 01 - France
Email: Jin-Kao.Hao[at]univ-angers.fr
Phone: (+33) 2 41 73 50 76, Fax: (+33) 2 41 73 50 73

Key words

Metaheuristics and intelligent computing, learning-based combinatorial optimization, constraint solving and constrained optimization, data mining and artificial intelligence, and applications (timetabling, resource planning, transportation, mobile networks, bioinformatics).

Research

Our work is about search algorithms and methods for solving large-scale complex combinatorial problems. We are especially interested in metaheuristics and hybrid approaches combined with machine learning and data mining techniques.

Target applications concern those highly combinatorial and strongly constrained problems which cannot be solved other ways. Typical examples of such applications include resource assignment, planning, scheduling and re-scheduling, timetabling, routing...

Our research aims to develop high performance methods for applications including:

• community detection in complex networks
• combinatorial auctions
• frequency assignment for mobile radio networks (application of France Telecom)
• antenna positioning for mobile radio networks (European Esprit IV project)
• inferring autonomous system relationships in the Internet (France Telecom R&D)
• photograph scheduling of an earth observation satellite (application of CNES)
• integrated vehicle and driver scheduling 
• optimization of BSS architecture (application of Bouygues Telecom)
• timetabling and nurse rostering
• constrained Steiner tree problems and quadratic spanning tree problem
• sports league scheduling and progressive party problem

and for general NP-hard problems such as:

• Graph coloring problems: vertex coloring, weighted vertex coloring, (set) T-coloring, bandwidth coloring, sum coloring and equitable coloring
  
• Clique problems: maximum clique, maximum weight clique, maximum balanced bi-clique, maximum s-plex
  
• Graph partitioning: graph bisection, max-cut, vertex separator, clique-partitioning, conductance minimization
  
• Multidimensional knapsack, multiple-choice multidimensional knapsack; set union knapsack
• Constrained Steiner tree problems, quadratic minimum spanning tree problem
• Dispersion/diversity problems: maximum diversity, maximally diverse grouping, max-min diversity, minimum differential dispersion
  
• Quadratic optimization: unconstrained binary quadratic problem, quadratic assignment, quadratic knapsack 
• (Maximal) constraint satisfaction problems (CSP and MCSP) and satisfiability (SAT and Max-SAT)
• Linear arrangement, linear ordering and bandwidth and cyclic bandwidth minimization
• 2D strip packing

R&D grants and contracts

• Machine learning meets optimization (PHC Cai Yuanpei Sino-French Program, 2018-2021)
• Operations and projects planning (CIFRE with GéPi Conseil, 2019-2022)
• Identification of biomarkers using integration of omics data  (PHC Cai Yuanpei Sino-French Program, 2011-2013)
• Adaptive and intelligent search for optimization (Pays de La Loire Regional Project, 2009-2013)
• LigeRO (Operations research) (Pays de La Loire Regional Project, 2009-2013)
• PGMO (Gaspard Monge Program for Optimization and operations research, 2013-2015)
• Actions planning (CIFRE with GéPi Conseil, 2013-2017)
• BIL (BioInformatique Ligérienne, Pays de La Loire Regional Project 2007-2011)
• Integrated Vehicule and Crew Scheduling (CIFRE with PERINFO SA, 2004-2007, 2005-2008)
• Inference of Autonomous System Relationships in the Internet (France Telecom R&D, 2005-2006)
• Network design and topology optimization (France Telecom R&D, 2006-2008)
• Post-Genome (Bioinformatics, 2000-2006)
• Ouest Genopole (Bioinformatics, since 2001)
• Parallel metaheuristics for combinatorial problem solving (Franco-Mexican Joint Lab in Computer Science LAFMI, 2005-2006)
• Meta-heuristics for uncertain optimization (PRA and LIAMA 2000-2003)
• Meteor (Migration & Evolution of Telecom Equipment through Operations Research, RNRT, 2000-2002)
• Mobile radio networks: planning, evolution and optimization (CNRS Telecoms Programme, 2000-2001)
• Optimization and decision making in cork industry (CIFRE with SABATE, 1999-2002)
• ARNO (Algorithms for Radio Network Optimisation, ESPRIT 4, No. 23243, 1997-1999)
• FAP I & II (Frequency assignment for mobile radio networks, CNET - France Telecom, 1994-1997)
• OPT (Modern heuristics for optimisation, ANVAR, 1996-1997)

Ph.D and Post-doc supervision

Ongoing Ph.D. candidates

• Yinuo Li (Industrial research grant CIFRE, from Polytech'Nantes and Ocean University of China, PhD starting in March 2019)
  
• Zhi Lu (CSC scholarship from University of Electronic Science and Technology of China, PhD starting in Oct. 2016, PhD defence planned in July 2020)
• Jintong Ren (CSC scholarship, from UTBM Belfort and Northwestern Polytechnical University, Xi'an, PhD starting in Oct. 2016, PhD defence planned in July 2020)
• Zequn Wei (CSC scholarship from Northwestern Polytechnical University, Xi'an, PhD starting in April 2018)

(Wishing to do a PhD with us? click here)

Former Ph.D. candidates

1. Wassim Ayadi (Assistant Professor at University of Tunis El Manar, Tunisia, PhD study Oct 2008 - Dec. 2011, co-supervisor M. Elloumi)
2. Vincent Barichard (Associate Professor at the Université d'Angers, PhD study in Oct 2000 - Nov. 2003, from Université d'Angers)
3. Meriema Belaidouni (PhD defense in 2001, from the Université Houari Boumédiène, Algeria)
4. Una Benlic (Research Scientist, Tesco PLC, London, UK, PhD study Oct 2009 - Sept. 2012)
5. Edmondo Bonilla Huerta (Associate Professor at the Instituto Tecnologico Apizaco, Tlaxcala, Mexico, PhD study Nov. 2004 - Nov. 2008, Mexican COSNET scholarship, from the Instituto Tecnologico Apizaco, co-supervisor B. Duval)
6. Marc-Olivier Buob (Research Scientist at Nokia Bell Labs, PhD defense in November 2008, France Telecom R&D research scholarship, from the Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE), Paris, co-supervisor J.L. Lutton, France Telecom R&D)
7. Brahim Chabane (R&D Engineer,  PhD Nov. 2013 - Dec 2017, Industrial research grant CIFRE, co-supervisor Dr. M. Basseur)
8. Alain Chabrier (Senior Technical Staff Member (STSM) for Decision Optimization, IBM, PhD defense in 2003, from the Ecole Polytechnique, Paris)
9. Yuning Chen (Associate Professor at the National University of Defense Technology, Changsha, China, CSC student from NUDT, PhD study Oct. 2012 - May 2016)
10. Daniela Claro (Associate Professor, Universidade Federal da Bahia, Brasil, co-supervisor P. Albers, PhD Oct. 2003 - Nov. 2006, from Universidade Federal de Santa Catarina, Brazil)
11. Hervé Deleau (Research Engineer at Université de Reims Champagne-Ardenne, PhD defense in 2005, from the Université d'Amiens, co-supervisor F. Saubion)
12. Vincent Derrien (Assistant Professor at the Higher Engineering School ESIGELEC, Regional scholarship, graduated from the Université d'Angers, PhD defense in March 2008, co-supervisor J.M. Richer)
13. Raphaël Dorne (Senior research scientist at British Telecom's Advanced Communications Technology Centre, Suffolk, U.K., PhD defense in 1998, from the Université de Montpellier II)
14. Fuda Ma (R&D Engineer, Huawei Technologies CO., Xi'an, China, CSC student from Northwestern Polytechnical University, Xi'an, PhD Oct. 2013 - July 2016)
15. Olivier Gach (Lecturer at IUT Le Mans, co-supervisor Pr. Dominique Py, PhD Oct. 2010 - December 2013)
16. Philippe Galinier (Professor at the Ecole Polytechnique de Montreal, Canada, PhD defense in 1999, from Université de Montpellier II)
17. Adrien Goeffon (Associate Professor at the Université d'Angers, co-supervisor J.M. Richer, PhD Oct. 2003 - Nov. 2006, from the Université d'Angers)
18. Giglia Gomez-Villouta (Professor at the Universidad de Valparaiso, Chile, co-supervisor J.P. Hamiez, PhD defense in Sept 2010)
19. Valérie Guihaire (R&D Engineer, PhD defense in December 2009, Industrial research grant CIFRE with PERINFO SA, from the Université Catholique de l'Ouest)
20. Jean-Philippe Hamiez (Associate Professor at the Université d'Angers, PhD defense in 2002, from the Université d'Amiens)
21. José Crispin Hernandez Hernandez (Associate Professor at the Instituto Tecnologico Apizaco, Tlaxcala, Mexico, PhD Nov. 2004 - Nov. 2008, Mexican COSNET scholarship, from the Instituto Tecnologico Apizaco, co-supervisor B. Duval)
22. Yan Jin (Associate Professor at Huazhong University of Science and Technology, School of Computer Science and Engineering, CSC student from HUST, Wuhan, China, PhD study Sept. 2011 - May 2015, co-supervisor JP Hamiez )
23. Frederic Lardeux (Associate Professor at the Université d'Angers, co-supervisor F. Saubion, PhD defence in 2005, from the Université d'Angers)
24. Samir Laroum (Private sector,  PhD Oct. 2008 - Nov 2011, Regional scholarship, from Université de Montouri Constantine, Alegeria, Master of Université de Montpellier, France, co-supervisors B. Duval and D. Tessier)
25. Benoit Laurent (R&D team leader at PERINFO SA, PhD defense in December 2008, Industrial research grant CIFRE with PERINFO SA, from the Université d'Angers)
26. Hakim Mabed (Associate Professor at the Université de Franche-Comté, co-supervised by A. Caminada, France Telecom R&D, PhD defense in 2003)
27. Nicolas Pech-Gourg (Associate Professor at the Higher Engineering School IMERIR, France, PhD defense in 2002, from the Ecole des Mines d'Alès)
28. Daniel Porumbel (Associate Professor at CNAM Paris, co-supervisor P. Kuntz, Polytech'Nantes, joint Master of the Polytech'Nantes and the University of Politehnica de Bucarest, Romania, PhD Sept. 2006 - Nov. 2009)
29. Eduardo A. Rodriguez-Tello (Permanent Researcher at the Cinvestav Tamaulipas, Mexican CONACyT scholarship, PhD defense in July 2007, from ITESM Cuernavaca, Mexico, in cooperation with J. Torres-Jimenez)
30. Ines Sghir (Assistant at University of Tunis, co-Director supervised by K. Ghédira, PhD defence in April 2016)
31. Wen Sun (Assistant Professor at Southeast University, School of Cyber Science and Engineering, CSC student from Northwestern Polytechnical University, Xi'an, PhD study April 2015-Nov. 2018, co-supervisor Dr. A. Caminada)
32. Michel Vasquez (Permanent researcher at the LGI2P Lab, National Higher Engineering School "Ecole des Mines d'Ales", France, PhD defense in 2000, from the Ecole des Mines d'Alèes)
33. Yang Wang (Professor at Northwestern Polytechnical University, Management School, Xi'an, China, CSC student from NPU, PhD study Oct 2009 - February 2013)
34. Qinghua Wu (Professor at Huazhong University of Science and Technology, Management School, Wuhan, China, CSC student from HUST, PhD study Oct 2009 -  February 2013)
35. Rongqiang Zeng (Assistant Professor at Southwest Jiaotong University, CSC student from University of Electronic Science and Technology of China, Chengdu, PhD study Dec. 2008 - June 2012, co-supervisor M. Basseur)
36. Yangming Zhou (Assistant Professor at East China University of Science and Technology, Department of Computer Science and Engineering, CSC student from Zhejiang University, PhD study Nov. 2014 - December 2017, co-supervisor Dr. B. Duval)
37. Yi Zhou (Assistant Professor at University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China, CSC student from UEST, PhD study Sept. 2013 - May 2017, co-supervisor Dr. A. Goëffon)

• Zhanghua Fu (2012-2015, PhD from Huazhong University of Science and Technology, China, now at Chinese University of Hong Kong, Shen Zhen Campus, China since September 2015)
• Xiangjing Lai (2013-2015, PhD from Huazhong University of Science and Technology, Research Professor at Nanjing University of Posts and Telecommunications, China since 2016)
• Zhipeng Lü (2007-2011, PhD from Huazhong University of Science and Technology, Professor at HUST, China since March 2011)
• Manuel Clergue (2000-2001, PhD from Université de Nice, Associate Professor at Université des Antilles et de la Guyane, France)
• Yufeng Hao (2004-2005, PhD from Southeast University, China, funded by the Franco-Chinese Foundation, R&D Director, Chief Scientist, Beijing Haitian Ruisheng Science Technology Ltd, China)
• Jian Zhou (2003-2004, Ph.D from Tsinghua University, China, funded by the French Research Ministry, Professor at Shanghai University)

• Liwen Li (2018-2019, visisting PhD student from Huazhong University of Science and Technology)
• Zhen Shang (2017-2018, visisting PhD student from Northwestern Polytechnical University)
• Ke-Qin Liu (2011-2013, visisting PhD student from Shanghai University)
• Xiujun Zhang (2011-2013, visisting PhD student from Shanghai University, now Associate Research Professor at Wuhan Botanical Garden, Chinese Academy of Sciences)
  

(Wishing to do a post-doc with us? click here)

Mini CV

Jin-Kao Hao holds a full Professor position in the Department of Computer Science of the University of Angers (France) since 1999. He becomes Distinguished Professor (classe exceptionnelle CE1 in 2010, promoted by the National Council of Universities, CE2 since 2013). In 2015, he was nominated as Senior Fellow of the Institut Universitaire de France. He was the Director of the LERIA Laboratory (2003-2015) (Angers Computer Science Lab) and the founder of the research group "Metaheuristics, Optimization and Applications". Before joining the University of Angers, he has been an Associate Professor at the National Higher Engineering School "Ecole des Mines d'Ales" (Nîmes Campus) and head of the "Constraints and Heuristics" research group until September 1999. He is the holder of the French National Research and Doctoral Supervision Bonus (PEDR) and the Research Excellence Bonus (PES).

His research focuses on the design of effective algorithms and methods for large-scale combinatorial search problems and practical applications. He contributed to practical solutions of significant NP-hard problems like graph coloring and sum coloring, maximum clique, combinatorial auctions, bandwidth and linear arrangement minimization, graph partitioning and clustering, vertex separator, MaxSAT, multiple-choice and multidimensional 0-1 knapsack problem, quadratic optimization, constraint satisfaction, Steiner and Spanning tree problems as well as various applications in the areas of bioinformatics, data mining, telecommunication networks and transportation, among others. 

His work with his co-authors has been featured in International Conferences (AE, CP, CPAIOR, ECAI, EvoBIO, EvoCOP, EMO, GECCO, IEEE CEC, ICTAI, IJCAI, MIC, PPSN) and Journals (Annals of Operations Research, Applied Mathematics and Computation, Applied Soft Computing, Artificial Intelligence Review, Asia-Pacific Journal of Operational Research, European Journal of Operational Research, Computers & Industrial Engineering, Computers & Operations Research, Computational Optimization & Applications, Discrete Applied Mathematics, 4OR, Mathematical Programming Computation, Engineering Applications of Artificial Intelligence, Expert Systems with Applications, Evolutionary Computation, Future Generation Computer Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Systems, Man, and Cybernetics: Systems, INFORMS Journal on Computing, Information Sciences, Journal of Combinatorial Optimization, J. of Heuristics, Intl. J. of Metaheuristics, Intl. J. of Applied Metaheuristic Computing, Intl. J. of Mathematics in Operational Research, J. of Mathematical Modelling and Algorithms, Intl J. of Mobile Network Design & Innovation, Knowledge-based Systems, Knowledge and Information Systems, Mathematical Programming Computation, Natural Computing and Applications, Neurocomputing, RAIRO Operations Research, Transportation Research, IEEE/ACM Transactions on Computational Biology and Bioinformatics, BioData Mining, Bioinformatics, BMC Bioinformatics, Briefings in Bioinformatics, Genomics Proteomics & Bioinformatics, Nucleic Acids Research). His work with his co-authors has been recognized by several awards (Engineering Applications of AI Best Paper Award 2017, 11th DIMACS Implementation Challenge on Steiner Tree Problems in 2014, Bronze Medal at the Nurse Rostering Competition 2010, Silver Medal at the PATAT-WATT 2007 International Timetabling Competition, EvoCOP 2009, MICAI 2006, PPSN 1996 best paper awards or nominees) and received multiple citations. His work includes some 250 peer-reviewed publications in international journals, book chapters and conference proceedings in the fields of Metaheuristics, Evolutionary Computation, Combinatorial Optimization, Bioinformatics, Constraint Programming and Artificial Intelligence.

He has supervised and worked on several real world applications including business relationship inference in the Internet, antenna positioning and frequency assignment for mobile radio networks, daily photograph scheduling of an earth observation satellite, integrated scheduling of vehicles and drivers, sports league scheduling, timetabling and nurse rostering. He has initiated a number of large R&D projects including an EC funded Esprit project (96-99) and French National Research Network RNRT project (1999-2002). He is involved in several internatinal collaboration programs, in particular with China, Canada, Mexico, Tunisia and USA.

He has served as an Invited Member of more than 200 Program Committees of some 30 International and National Conferences and serves regularly as a reviewer for some 35 well-established Journals in his research domain. He served as Program co-chair or General chair for several international Conferences (in particular, IEEE BIBM 2014, Area Chair for ICTAI 2014 2013, 2011, 2010, PRIB 2013, EvoCOP 2012, EvoCOP 2011, AE 2011, 1997, EMO 2009). He is on the Editorial Board of several International Journals and participated in the organization of a number of Conferences and Workshops in addition to co-editing 9 volumes of Springer LNCS series. In his capacity as a Professor, he has supervised 37 defended PhD theses and 6 post-doc till 2018 and served on more than 140 PhD or Habilitation Examination Boards (in France and abroad).

He has held or still holds a number of national responsabilities including Member of the National Council of Universities (CNU 27) nominated by the French Higher Education and Research Ministry, Panel Member of the Scientific Evaluation Committee CES 40 "Mathematics, Computer Science, Systems and Communications Engineering" and Panel Member of the SIMI 2 Board (Basic Research and International Joint Research) for the French National Research Agency ANR; Member of the National Jury for attibuting the "Research Excellence Bonus"; Invited Expert of proposal evaluation for research agencies (Eurostars-EUREKA, FNRS-Belgium, NSERC-Canada, CONICYT-Chile, CNSF-China, RGC Hong Kong-China, ISF-Israel, CORE-Luxembourg, NCSTE-Kazakhstan, CNCS-Romania, SSF-Slovakia, SNF-Switzerland, EPSRC-UK etc); Member of the Jury for the French OR Society Roadef's "Robert Faure Prize"; Member of Regional Jury for the "5th National Challenge for Hi-Tech Company Creation" of the French Research and New Technology Ministry; Evaluation expert of French research Labs; External member of Searching Committee for several Universities.

Jin-Kao Hao was born in Nov. 1961 in China. He graduated in 1982 from the National University of Defense Technology (School of Computer Science) (China). He received his Master degree (Oct. 1987) from the National Institute of Applied Sciences (INSA Lyon, France), his Ph.D. in Constraint Programming (Feb. 1991) from the University of Franche-Comté, suppervised by Prof. Jean-Jacques Chabrier of the University of Burgundy (Dijon, France) and the Professorship Diploma HDR (Habilitation a Diriger des Recherches) (Jan. 1998) from the University of Science and Technology of Montpellier (France).

Selected publications since 1995 (see also DBLP)
(See also Google Scholar , Researchgate, Semantic Scholar)

(If you encounter problems to download any paper, you may contact me at mailto: jin-kao.hao[at]univ-angers.fr, replace [at] by @)

1. Jin-Hao Hao and Christine Solnon. Meta-heuristics and artificial intelligence. In Pierre Marquis, Odile Papini, Henri Prade (Eds). A Guided Tour of Artificial Intelligence II, Chapter 2, pages 27-52, 2020. (pdf) Springer©
   
2. Jin-Kao Hao. Memetic Algorithms in Discrete Optimization. In F. Neri, C. Cotta, P. Moscato (Eds.) Handbook of Memetic Algorithms. Studies in Computational Intelligence 379,  Chapter 6, pages 73-94, 2012. Draft (pdf) Springer©
3. Jin-Hao Hao, Christine Solnon. Méta-heuristiques et Intelligence Artificielle. Panorama de l’Intelligence Artificielle - Ses bases méthodologiques et ses développements, sous la direction de Pierre Marquis, Odile Papini et Henri Prade. Hermes 2014. (pdf)
4. Una Benlic, Jin-Kao Hao. Hybrid metaheuristics for the graph partitioning problem. In EG Talbi (Ed.) Hybrid Metaheuristics. Studies in Computational Intelligence 434, Chapter 6, pages 157-184, 2013. Draft (pdf) Springer©
5. Philippe Galinier, Jean-Philippe Hamiez, Jin-Kao Hao, Daniel Cosmin Porumbel. Recent advances in graph vertex coloring. In I. Zelinka, V. Snasel, A. Abraham (Eds.) Handbook of Optimization. Chapter 20, pages 505-528, 2013. Draft (pdf) Springer©.
6. Olivier Gach and Jin-Kao Hao. A fusion condition for community detection with modularity. Complex Networks: Advances in Research and Applications, Chapter 4, pages 103-135, Nova Science Publishers, Inc., 2017. (pdf)
   
7. Wassim Ayadi, Mourad Elloumi, Jin-Kao Hao. Systematic and Stochastic biclustering algorithms for microarray data analysis. In L. Rueda (Ed.) Microarray Image and Data Analysis: Theory and Practice. CRC Press / Taylor & Francis, December 2014.
8. Adelaide Freitas, Wassim Ayadi, Mourad Elloumi, José Luis Oliveira, Jin-Kao Hao. Survey on biclustering of gene expression data. In M. Elloumi, A.Y. Zomaya (Eds.) Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data. Chapter 24, 2012. Draft (pdf, Doi) Wiley
9. Adrien Goëffon, Jean-Michel Richer, Jin-Kao Hao, Heuristic methods for phylogenetic reconstruction with maximum parsimony. In M. Elloumi, A.Y. Zomaya (Eds.) Algorithms in Computational Molecular Biology - Techniques, Approaches and Applications. Chapter 26, pages 579-597, 2011. Draft (pdf) Wiley
10. Oliver Bailleux and Jin-Kao Hao, Stochastic search algorithms (in French). In L. Sais (Ed.), "Problem SAT: progresses and challenges", Chapter 5, Draft (pdf), Hermes, 2008.
11. Alexandre Caminada, Jin-Kao Hao, Jean-Luc Lutton and Vincent Martin, Telecommunication networks. In G. Finke (Ed.), Operational Research and Networks, Chapter 7, Wiley, 2008.
12. Daniela Claro, Patrick Albers, Jin-Kao Hao, Web services composition. In J. Cardoso, Sheth, Amit (Eds.) Semantic Web Services, Processes and Applications, Chapter 8, 2006, (pdf)  Springer©
13. Jean-Philippe Hamiez, Jin-Kao Hao, An analysis of solution properties of the graph coloring problem. Metaheuristics: Computer Decision-Making, Chapter 15, pp325-346, M.G.C. Resende and J.P. de Sousa (Eds.), Kluwer, 2003. (postscript) (pdf). 
14. Alexandre Caminada, Jin-Kao Hao, Jean-Luc Lutton, Vincent Martin, Réseaux de télécommunications. In G. Finke (Ed.) Recherche Opérationnelle et Réseaux, traité IGAT, Chapitre 7, pp196-240, Hermes, 2002.
15. Raphaël Dorne, Jin-Kao Hao, Tabu search for graph coloring, T-colorings and set T-colorings. Meta-heuristics: Advances and Trends in Local Search Paradigms for Optimization, Chapter 6, pp77-92, S. Voss, S. Martello, I.H. Osman, C. Roucairol (Eds.), Kluwer, 1998. (pdf)
16. Philippe Galinier, Jin-Kao Hao, Solving the progressive party problem by local search. Meta-heuristics: Advances and Trends in Local Search Paradigms for Optimization, Chapter 29, pp418-432, S. Voss, S. Martello, I.H. Osman, C. Roucairol (Eds.), Kluwer, 1998. (Draft version pdf)

1. Yangming Zhou, Jin-Kao Hao, Béatrice Duval. Frequent pattern based search: A case study on the quadratic assignment problem. Accepted to IEEE Transactions on Systems, Man, and Cybernetics: Systems September 2020. (pdf, doi) IEEE CSP©. 
2. Yangming Zhou, Jin-Kao Hao, Zhang-Hua Fu, Zhe Wang, Xiangjing Lai. Variable population memetic search: A case study on the critical node problem. Accepted to  IEEE Transactions on Evolutionary Computation July 2020. (pdf, doi) IEEE CSP©. 
3. Xiangjing Lai, Jin-Kao Hao, Zhang-Hua Fu, Dong Yue. Neighborhood decomposition based variable neighborhood search and tabu search for maximally diverse grouping. European Journal of Operational Research July 2020. (pdf, doi) Elsevier©.  (Program Code is HERE)
4. Zequn Wei and Jin-Kao Hao. Kernel-based tabu search for the Set-Union Knapsack Problem. Expert Systems with Applications 163: 113802, 1 March 2021 (pdf, doi) Elsevier©. (Program Code is HERE)
5. Mingjie Li, Jin-Kao Hao, Qinghua Wu. General swap-based multiple neighborhood adaptive search for the maximum balanced biclique problem. Computers & Operations Research 119: 104922, July 2020 (pdf, doi) Elsevier©. (Program Code is HERE)
6. Qing Zhou, Jin-Kao Hao, Zhe Sun, Qinghua Wu. Memetic search for composing medical crews with equity and efficiency. Applied Soft Computing 94: 106440, September 2020 (pdf, doi) Elsevier©.  (Program Code is HERE)
7. Daniel Porumbel and Jin-Kao Hao. Distance-guided local search. Journal of Heuristics 26: 711-741, 2020 (pdf, doi) Springer©. (Program Code is HERE).
8. Jintong Ren, Jin-Kao Hao, Eduardo Rodriguez-Tello, Liwen Li, Kun He. A new iterated local search algorithm for the cyclic bandwidth problem. Knowledge-Based Systems 203: 106136, September 2020 (pdf, doi) Elsevier©.  (Program Code is available HERE)
9. Ji Lu, Yuning Chen, Jin-Kao Hao, Renjie He. The time-dependent electric vehicle routing problem: model and solution. Expert Systems with Applications 161: 113593, December 2020 (pdf, doi) Elsevier©.
10. Xiangjing Lai, Jin-Kao Hao, Zhang-Hua Fu, Dong Yue. Diversity-preserving quantum particle swarm optimization for the multidimensional knapsack problem. Expert Systems with Applications 149: 113310, July 2020 (pdf, doi) Elsevier©. (Program Code is HERE)
11. Zhi Lu, Jin-Kao Hao, Qinghua Wu. A hybrid evolutionary algorithm for finding low conductance of large graphs. Future Generation Computer Systems 106: 105-120, May 2020 (pdf, doi) Elsevier© (Program Code is HERE)
12. Xiangjing Lai, Jin-Kao Hao, Fred Glover. A study of two evolutionary/tabu search approaches for the generalized max-mean dispersion problem. Expert Systems with Applications 139: 112856, January 2020 (pdf, doi) Elsevier©. (Program Code is HERE)
13. Wen Sun, Jin-Kao Hao, Wenyu Wang, Qinghua Wu. Memetic search for the equitable coloring problem. Knowledge-Based Systems 188: 105000, January 2020 (pdf, doi) Elsevier©.
14. Zequn Wei and Jin-Kao Hao. Iterated two-phase local search for the Set-Union Knapsack Problem. Future Generation Computer Systems 101: 1005-1017, 2019 (pdf, doi) Elsevier© (Program Code is HERE)
15. Zhi Lu, Jin-Kao Hao, Yi Zhou. Stagnation-aware breakout tabu search for the Minimum Conductance Graph Partitioning Problem. Computers & Operations Research 111: 43-57, 2019 (pdf, doi) Elsevier© (Program Code is HERE)
16. Fred Glover and Jin-Kao Hao. Diversification-based learning in computing and optimization. Journal of Heuristics 25(4-5): 521-537, 2019. (pdf, doi) Springer©
17. Yongliang Lu, Jin-Kao Hao, Qinghua Wu. Hybrid evolutionary search for the traveling repairman problem with profits. Information Sciences 502: 91-108, 2019. (pdf, doi) Elsevier©.
18. Yan Jin and Jin-Kao Hao. Solving the Latin square completion problem by memetic graph coloring. IEEE Transactions on Evolutionary Computation 23(6): 1015-1028, February 2019. (pdf, doi) IEEE CSP©. (Program Code is HERE, Test Graphs are HERE)
    
19. Yuning Chen and Jin-Kao Hao. Dynamic thresholding search for Minimum Vertex Cover in massive sparse graphs. Engineering Applications of Artificial Intelligence 82: 76-84, 2019 (pdf, doi) Elsevier©.
20. Xiangjing Lai, Jin-Kao Hao, Fred Glover, Dong Yue. Intensification-driven tabu search for the minimum differential dispersion problem. Knowledge-Based Systems 167: 68-86, 2019 (pdf, doi) Elsevier©.
21. Jintong Ren, Jin-Kao Hao, Eduardo Rodriguez-Tello. An iterated three-phase search approach for solving the Cyclic Bandwidth Problem. IEEE Access 7: 98436-9845, 2019. (pdf, doi) IEEE©. (Program Code is HERE)
22. Brahim Chabane, Matthieu Basseur, Jin-Kao Hao. Lorenz dominance based algorithms to solve a practical multiobjective problem. Computers & Operations Research 104: 1-14, 2019 (pdf, doi) Elsevier©
    
23. Yi Zhou and Jin-Kao Hao. Tabu search with graph reduction for finding maximum balanced bicliques in bipartite graphs. Engineering Applications of Artificial Intelligence 77: 86-97, 2019 (pdf, doi) Elsevier©. (Program Code is HERE)
24. Xiangjing Lai, Jin-Kao Hao, Dong Yue. Two-stage solution-based tabu search for the multidemand multidimensional knapsack problem. European Journal of Operational Research 274(1): 35-48, 2019 (pdf, doi) Elsevier©. (Program Code is HERE)
25. Yangming Zhou, Jin-Kao Hao, Fred Glover. Memetic search for identifying critical nodes in sparse graphs. IEEE Transactions on Cybernetics 49(10): 3699-3712 2019 (pdf, doi) IEEE SMC©. (Program Code is HERE)
26. Qing Zhou, Una Benlic, Qinghua Wu, Jin-Kao Hao. Heuristic search to the capacitated clustering problem. European Journal of Operational Research 273(2): 464-487, 2019 (pdf, doi) Elsevier©.
27. Zhen Shang, Songzheng Zhao, Jin-Kao Hao, Xue Yang, Fuda Ma. Multiple phase tabu search for bipartite boolean quadratic programming with partitioned variables. Computers & Operations Research 102: 141-149, 2019 (pdf, doi) Elsevier©
28. Wen Sun, Jin-Kao Hao, Alexandre Caminada. Iterated backtrack removal search for finding k-vertex-critical subgraphs. Journal of Heuristics 25(4-5): 565-590, 2019. (pdf, doi) Springer©.
29. Wen Sun, Jin-Kao Hao, Xiangjing Lai, Qinghua Wu. Adaptive feasible and infeasible tabu search for weighted vertex coloring. Information Sciences 466: 203-219, 2018 (pdf, doi) Elsevier©. (Program Code is HERE)
30. Yi Zhou, André Rossi, Jin-Kao Hao. Towards effective exact algorithms for the maximum balanced biclique problem in bipartite graphs. European Journal of Operational Research 269(3): 834-843, 2018 (pdf, doi) Elsevier©.
31. Wenyu Wang, Jin-Kao Hao, Qinghua Wu. Tabu search with feasible and infeasible searches for equitable coloring. Engineering Applications of Artificial Intelligence 71: 1-14, 2018 (pdf, doi) Elsevier©.
32. Xiangjing Lai, Dong Yue, Jin-Kao Hao, Fred Glover. Solution-based tabu search for the maximum min-sum dispersion problem. Information Sciences 441: 79-94, 2018 (pdf, doi) Elsevier©. (Program Code is HERE)
33. Yangming Zhou, Béatrice Duval, Jin-Kao Hao. Improving probability learning based local search for graph coloring. Applied Soft Computing 65: 542-553, 2018 (pdf, doi) Elsevier©.
34. Xiangjing Lai, Jin-Kao Hao, Fred Glover, Zhipeng Lü. A two-phase tabu-evolutionary algorithm for the 0-1 multidimensional knapsack problem. Information Sciences 436-437: 282-301, 2018 (pdf, doi) Elsevier©.
35. Yuning Chen and Jin-Kao Hao. Two phased hybrid local search for the periodic capacitated arc routing problem. European Journal of Operational Research 264(1): 55-65, 2018 (pdf, doi) Elsevier©.
36. Qinghua Wu, Qing Zhou, Yan Jin, Jin-Kao Hao. Minimum sum coloring for large graphs with extraction and backward expansion search. Applied Soft Computing 62: 1056-1065, 2018 (pdf, doi) Elsevier©.
    
37. Yangming Zhou, Jin-Kao Hao, Béatrice Duval. Opposition-based memetic search for the maximum diversity problem. IEEE Transactions on Evolutionary Computation 21(5): 731-745, 2017 (pdf, doi) IEEE CSP©. (Program Code is HERE)
38. Zhanghua Fu and Jin-Kao Hao. Knowledge guided local search for the Prize-collecting Steiner Tree Problem in Graphs. Knowledge-Based Systems 128: 78-92, 2017 (pdf, doi) Elsevier©.
39. Zhanghua Fu and Jin-Kao Hao. Swap-vertex based neighborhood for the broadly defined Steiner tree problems. Mathematical Programming Computation 9(2): 297-320, 2017 (pdf, doi) Springer© (Program Codes are HERE and HERE)
40. Yi Zhou and Jin-Kao Hao. Frequency-driven tabu search for the maximum s-plex problem. Computers & Operations Research 86: 65-78, 2017 (pdf, doi) Elsevier© (Program Code is HERE)
41. Yi Zhou, Jin-Kao Hao, Adrien Goëffon. PUSH: a generalized operator for the maximum weight clique problem. European Journal of Operational Research 257(1): 41-54, 2017 (pdf, doi) Elsevier© (Program Code is HERE)
42. Yangming Zhou and Jin-Kao Hao. An iterated local search algorithm for the minimum differential dispersion problem. Knowledge-Based Systems 125: 26-38, 2017 (pdf, doi) Elsevier© (Program Code is HERE)
43. Fuda Ma, Yang Wang, Jin-Kao Hao. Path relinking algorithm for the vertex separator problem. Expert Systems with Applications 82: 332-343, 2017 (pdf, doi) Elsevier©.
44. Yuning Chen and Jin-Kao Hao. An iterated "hyperplane exploration" approach for the Quadratic Knapsack Problem. Computers & Operations Research 77: 226-239, 2017 (pdf, doi) Elsevier© (Instances are HERE)
45. Fuda Ma, Jin-Kao Hao, Yang Wang. An effective iterated tabu search for the maximum bisection problem. Computers & Operations Research 81: 78-89, 2017 (pdf, doi) Elsevier© 
46. Fuda Ma and Jin-Kao Hao. A multiple search operator heuristic for the max-k-cut problem. Annals of Operations Research 248(1-2): 365-403, 2017 (pdf, doi) Springer©.
47. Yan Jin, Jean-Philippe Hamiez, Jin-Kao Hao. Algorithms for the minimum sum coloring problem: a review. Artificial Intelligence Review 47(3): 367-394, 2017 (pdf, doi) Springer©.
48. Brahim Chabane, Matthieu Basseur, Jin-Kao Hao. R2-IBMOLS applied to a practical case of the multiobjective knapsack problem. Expert Systems with Applications 71:457-468, 2017 (pdf, doi) Elsevier©.
49. Yuning Chen and Jin-Kao Hao. Memetic search for the generalized quadratic multiple knapsack problem. IEEE Transactions on Evolutionary Computation 20(6): 908-923, 2016 (pdf, doi) IEEE CSP©.
    
50. Xiangjing Lai and Jin-Kao Hao. Iterated variable neighborhood search for the capacitated clustering problem. Engineering Applications of Artificial Intelligence 56:102-120, 2016 (pdf, doi) Elsevier©. (Program Code is HERE)
51. Yangming Zhou, Jin-Kao Hao, Béatrice Duval. Reinforcement learning based local search for grouping problems: A case study on graph coloring. Expert Systems with Applications 64:412-422, 2016 (pdf, doi) Elsevier©.
52.  Xiangjing Lai and Jin-Kao Hao. Iterated maxima search for the maximally diverse grouping problem. European Journal of Operational Research 254(3):780-800, 2016 (pdf, doi) Elsevier©. (Program Code is HERE)
53. Yuning Chen, Jin-Kao Hao, Fred Glover. A hybrid metaheuristic approach for the capacitated arc routing problem. European Journal of Operational Research 253(1): 25-39, 2016 (pdf, doi) Elsevier©.
54. Yuning Chen and Jin-Kao Hao. The bi-objective quadratic multiple knapsack problem: model and heuristics. Knowledge-Based Systems 97: 89-100, 2016 (pdf, doi) Elsevier©.
55. Yuning Chen, Jin-Kao Hao, Fred Glover. An evolutionary path relinking approach for the quadratic multiple knapsack problem. Knowledge-Based Systems 92: 23-34, 2016 (pdf, doi) Elsevier©.
    
56. Yan Jin and Jin-Kao Hao. Hybrid evolutionary search for the minimum sum coloring problem of graphs. Information Sciences 352-353: 15-34,.2016 (pdf, doi) Elsevier©.
57. Xiangjing Lai and Jin-Kao Hao. A tabu based memetic algorithm for the max-mean dispersion problem. Computers & Operations Research 72: 118-127, 2016. (pdf, doi) Elsevier©. (Program Code is HERE)
58. Xiangjing Lai, Jin-Kao Hao, Zhipeng Lü, Fred Glover. A learning-based path relinking algorithm for the bandwidth coloring problem. Engineering Applications of Artificial Intelligence 52: 81-91, 2016 (pdf, doi) Elsevier©. (Program Code is HERE)
59. Qinghua Wu and Jin-Kao Hao. A clique-based exact method for optimal winner determination in combinatorial auctions. Information Sciences 334-335: 103-121, 2016 (pdf, doi) Elsevier©.
60. Fred Glover and Jin-Kao Hao. f-flip Strategies for unconstrained binary quadratic programming. Annals of Operations Research 238:651-657, 2016 (pdf, doi) Springer©
61. Yi Zhou, Jin-Kao Hao, Adrien Goëffon. A three-phased local search approach for the Clique Partitioning problem. Journal of Combinatorial Optimization 32(2): 469-491, 2016 (pdf, doi) Springer©. (Program code and instances are here)
    
62. Yang Wang, Jin-Kao Hao, Fred Glover, Zhipeng Lü, Qinghua Wu. Solving the maximum vertex weight clique problem via binary quadratic programming. Journal of Combinatorial Optimization 32(2): 531-549, 2016 (pdf, doi) Springer©.
    
63. Olivier Gach and Jin-Kao Hao. Combined neighborhood tabu search for community detection in complex networks. RAIRO Operational Research 50(2): 269-293, 2016 (pdf, doi) EDP Sciences©
64. Xiangjing Lai, Jin-Kao Hao, Fred Glover. Backtracking Based Iterated Tabu Search for Equitable Coloring. Engineering Applications of Artificial Intelligence 46: 269-278, 2015 (pdf, doi) Elsevier©. (Program Code is HERE)
65. Zhanghua Fu and Jin-Kao Hao. A three-phase search approach for the quadratic minimum spanning tree problem. Engineering Applications of Artificial Intelligence 46: 113-130, 2015 (pdf, doi) Elsevier©.
66. Ines Sghir, Jin-Kao Hao, Ines Ben Jaafar, Khaled Ghédira. A multi-agent based optimization method applied to the quadratic assignment problem. Expert Systems with Applications 42(23): 9252-9263, 2015 (pdf, doi) Elsevier©.
67. Qinghua Wu and Jin-Kao Hao. A review of algorithms for maximum clique problems. European Journal of Operational Research 242(3): 693-709, 2015 (pdf, doi) Elsevier©.
68. Yan Jin and Jin-Kao Hao. Effective learning-based hybrid search for bandwidth coloring. IEEE Transactions on Systems, Man, and Cybernetics: Systems 45(4): 624-635, 2015 (pdf, doi) IEEE SMC©
69. Zhanghua Fu and Jin-Kao Hao. Dynamic programming driven memetic search for the Steiner tree problem with revenues, budget and hop constraints. INFORMS Journal on Computing 27(2): 221-237, 2015 (pdf, doi) (online supplement) Informs©. (The new STPRBH graphs are available HERE)
70. Yuning Chen and Jin-Kao Hao. Iterated responsive threshold search for the quadratic multiple knapsack problem. Annals of Operations Research 226(1): 101-131, 2015 (pdf, doi) Springer© (Program Code will be HERE).
71. Xiangjing Lai and Jin-Kao Hao. Path relinking for the fixed spectrum frequency assignment problem. Expert Systems with Applications 42(10): 4755-4767, 2015 (pdf, doi) Elsevier©. (Program Code is HERE).
72. Yan Jin and Jin-Kao Hao. General swap-based multiple neighborhood tabu search for the maximum independent set problem. Engineering Applications of Artificial Intelligence 37: 20-33, 2015 (pdf, doi) Elsevier©. (Program Code is HERE).
73. Una Benlic and Jin-Kao Hao. Memetic search for the quadratic assignment problem. Expert Systems with Applications 42(1): 584-595, 2015. (pdf, doi) Elsevier©. (Program Code is available HERE).
74. Qinghua Wu and Jin-Kao Hao. Solving the winner determination problem via a weighted maximum clique heuristic. Expert Systems with Applications 42(1): 355-365, 2015 (pdf, doi) Elsevier©. (Program Code and data files are HERE).
75. Eduardo Rodriguez-Tello, Jin-Kao Hao, Hillel Romero-Monsivais. Boosting the performance of metaheuristics for the MinLA problem using a more discriminating evaluation function. Technical Gazette 22(1):11-24, 2015 (pdf, doi)
76. Xiujun Zhang, Juan Zhao, Jin-Kao Hao, Xing-Ming Zhao, Lunan Chen. Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks. Nucleic Acids Research 43(5):e31, 2015 (pdf, doi)  Oxford Journals©.
    
77. Xing-Ming Zhao, Ke-Qin Liu, Guanghui Zhu, Feng He, Béatrice Duval, Jean-Michel Richer, De-Shuang Huang, Chang-Jun Jiang, Jin-Kao Hao, Luonan Chen. Identifying cancer-related microRNAs based on gene expression data. Bioinformatics 31(8):1226-34, 2015. (pdf, doi)  Oxford Journals©
78. Wassim Ayadi and Jin-Kao Hao. A memetic algorithm for discovering negative correlation biclusters of DNA microarray data. Neurocomputing 145: 12-22, 2014 (pdf, doi) Elsevier©.
79. Yuning Chen and Jin-Kao Hao. A "reduce and solve" approach for the multiple-choice multidimensional knapsack problem. European Journal of Operational Research 239(2): 313-322, 2014 (pdf, doi) Elsevier© (Program Code is HERE).
80. Zhanghua Fu and Jin-Kao Hao. Breakout local search for the Steiner tree problem with revenue, budget and hop constraints. European Journal of Operational Research 232(1): 209-220, 2014 (pdf, doi) Elsevier© (Program Code is HERE)
81. Gary Kochenberger, Jin-Kao Hao, Fred Glover, Mark Lewis, Zhipeng Lü, Haibo Wang, Yang Wang. The unconstrained binary quadratic programming problem: a survey. Journal of Combinatorial Optimization 28(1): 58-81, 2014. (pdf, doi) Springer©
82. Yan Jin, Jin-Kao Hao, Jean-Philippe Hamiez. A memetic algorithm for the minimum sum coloring problem. Computers & Operations Research 43(3): 318-327, 2014. (pdf, doi) Elsevier©.
83. Arnaud Liefooghe, Sébastien Verel, Jin-Kao Hao. A hybrid metaheuristic for multiobjective unconstrained binary quadratic programming. Applied Soft Computing 6:10-19, 2014. (pdf, doi) Elsevier©.
84. Yang Wang, Jin-Kao Hao, Fred Glover, Zhipeng Lü. A tabu search based memetic algorithm for the maximum diversity problem. Engineering Applications of Artificial Intelligence 27: 103-114, 2014. (pdf, doi) Elsevier©.
85. Dominique Tessier, Sami Laroum, Béatrice Duval, Emma M Rath, W. Bret Church, Jin-Kao Hao. In silico evaluation of the influence of the translocon on partitioning of membrane segments. BMC Bioinformatics 15:156, (pdf, doi) 2014.
86. Yang Wang, Zhipeng Lü, Fred Glover, Jin-Kao Hao. Probabilistic GRASP-tabu search algorithms for the UBQP problem. Computers & Operations Research 40(12): 3100-3107, 2013. (pdf, doi) Elsevier©
87. Qinghua Wu and Jin-Kao Hao. A hybrid metaheuristic method for the maximum diversity problem. European Journal of Operational Research  231(2): 452-464, 2013. (pdf, doi) Elsevier© 
88. Qinghua Wu and Jin-Kao Hao. Memetic search for the max-bisection problem. Computers & Operations Research 40(1): 166-179, 2013. (pdf, doi) Elsevier© 
89. Qinghua Wu and Jin-Kao Hao. An adaptive multistart tabu search approach to solve the maximum clique problem. Journal of Combinatorial Optimization 26(1): 86-108, 2013. (pdf, doi) Springer©
90. Jin-Kao Hao and Qinghua Wu. Improving the extraction and expansion method for large graph coloring. Discrete Applied Mathematics 160(16-17): 2397-2407, 2012. (pdf, doi) Elsevier©
91. Qinghua Wu and Jin-Kao Hao. Coloring large graphs based on independent set extraction. Computers & Operations Research 39(2): 283-290, 2012. (pdf, doi) Elsevier© 
92. Qinghua Wu and Jin-Kao Hao. An effective heuristic algorithm for sum coloring of graphs. Computers & Operations Research 39(7): 1593-1600, 2012. (pdf, doi) Elsevier©
93. Qinghua Wu, Jin-Kao Hao, Fred Glover. Multi-neighborhood tabu search for the maximum weight clique problem. Annals of Operations Research 196(1): 611-634, 2012. (pdf, doi) Springer© (Program Code is HERE) 
94. Qinghua Wu and Jin-Kao Hao. An extraction and expansion approach for graph coloring. Asia-Pacific Journal of Operational Research 30(5): 1350018, 2013. (pdf, doi) World Scientific©
95. Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz. Informed reactive tabu search for graph coloring. Asia-Pacific Journal of Operational Research 30(4): 1350010 2013. (pdf, doi) World Scientific©
96. Una Benlic and Jin-Kao Hao. Breakout local search for maximum clique problems. Computers & Operations Research 40(1): 192-206, 2013. (pdf, doi) Elsevier© 
97. Una Benlic and Jin-Kao Hao. Breakout local search for the max-cut problem. Engineering Applications of Artificial Intelligence 26(3): 1162-1173, 2013. (pdf, doi) Elsevier©
98. Una Benlic and Jin-Kao Hao. Breakout local search for the quadratic assignment problem. Applied Mathematics and Computation 219(9): 4800-4815, 2013 (pdf, doi) Elsevier© (Program Code is HERE)
99. Gary Kochenberger, Jin-Kao Hao, Zhipeng Lü, Haibo Wang, Fred Glover. Solving large scale max cut problems via tabu search. Journal of Heuristics 19(4): 565-571, 2013 (pdf, doi) Springer©
100. Xiujun Zhang, Keqin Liu, Zhi-Ping Liu, Béatrice Duval, Jean-Michel Richer, Xing-Ming Zhao, Jin-Kao Hao, Luonan Chen. NARROMI: a noise and redundancy reduction technique improves accuracy of gene regulatory network inference. Bioinformatics 29(1):106-13, 2013. (pdf, doi)  Oxford Journals©
     
101. Zhipeng Lü and Jin-Kao Hao. Adaptive neighborhood search for nurse rostering. European Journal of Operational Research  218(3): 865-876, 2012. (pdf, doi) Elsevier©
102. Zhipeng Lü and Jin-Kao Hao. Adaptive memory-based local search for Max-SAT. Applied Soft Computing 16(8): 2063-2071, 2012. (pdf, doi) Elsevier©.
103. Yang Wang, Zhipeng Lü, Fred Glover, Jin-Kao Hao. Path relinking for unconstrained binary quadratic programming. European Journal of Operational Research 223(3): 595-604, 2012. (pdf, doi) Elsevier©.
104. Yang Wang, Zhipeng Lü, Fred Glover, Jin-Kao Hao. Backbone guided tabu search for solving the UBQP problem. Journal of Heuristics 19(4): 679-695, 2013 (pdf, doi) Springer©
105. Wassim Ayadi, Mourad Elloumi, Jin-Kao Hao. BiMine+: An efficient algorithm for discovering relevant biclusters of DNA microarray data. Knowledge-based Systems 35: 224-234, 2012. Draft (pdf, doi) Elsevier©
106. Wassim Ayadi, Mourad Elloumi, Jin-Kao Hao. BicFinder: A Biclustering Algorithm for Microarray Data Analysis. Knowledge and Information Systems: An International Journal 30(2): 341-358, 2012 (pdf, doi) Springer©
107. Wassim Ayadi, Mourad Elloumi, Jin-Kao Hao. Pattern-driven neighborhood search for biclustering of microarray data. BMC Bioinformatics 13(Suppl 7):S11, 2012. (pdf, doi) BioMed Central©
108. Rongqiang Zeng, Matthieu Basseur, Jin-Kao Hao. Solving bi-objective flow shop problem with hybrid path relinking algorithm. Applied Soft Computing 13(10): 4118-4132, 2013. (pdf, doi) Elsevier©
109. Matthieu Basseur, Rongqiang Zeng, Jin-Kao Hao. Hypervolume-based multi-objective local search. Neural Computing and Applications 21(8): 1917-1929, 2012, Draft (pdf,doi)  Springer©
110. Xiujun Zhang, Xing-Ming Zhao, Kun He, Le Lu, Yongwei Cao, Jingdong Liu, Jin-Kao Hao, Zhi-Ping Liu, Luonan Chen. Inferring gene regulatory networks from gene expression data by PC-algorithm based on conditional mutual information. Bioinformatics 28(1): 94-104, 2012. Draft (pdf, doi) Oxford Journals©
111. Ke-Qin Liu, Zhi-Ping Liu, Jin-Kao Hao, Luonan Chen, Xing-Ming Zhao. Identifying dysregulated pathways in cancers from pathway interaction networks. BMC Bioinformatics 13: 126, 2012. Draft (pdf, doi) BioMed Central©
112. Daniel Cosmin Porumbel, Jin-Kao Hao, Fred Glover. A Simple and Effective Algorithm for the MaxMin Diversity Problem. Annals of Operations Research 186(1): 275-293, 2011. (pdf,doi) Springer© (Program Code is HERE)
113. Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz. An Efficient Algorithm for Computing the Distance Between Close Partitions. Discrete Applied Mathematics 159: 53-59, 2011. (pdf, doi) Elsevier©
114. Una Benlic and Jin-Kao Hao. A multilevel memetic approach for improving graph k-partitions. IEEE Transactions on Evolutionary Computation 15(5): 624-472, 2011. (pdf, doi) IEEE CSP©
115. Una Benlic and Jin-Kao Hao. An effective multilevel tabu search approach for balanced graph partitioning. Computers & Operations Research 38(7): 1066-1075, 2011. (pdf, doi) Elsevier©
116. Jin-Kao Hao and Una Benlic. Lower Bounds for the ITC-2007 Curriculum-Based Course Timetabling Problem. European Journal of Operational Research 212(3): 464-472, 2011. (pdf, doi) Elsevier©
117. Zhipeng Lü, Jin-Kao Hao, Fred Glover. Neighborhood Analysis: A Case Study on Curriculum-Based Course Timetabling. Journal of Heuristics 17(2): 97-118, 2011. (pdf, doi) Springer©
118. Hakim Mabed, Alexandre Caminada, Jin-Kao Hao. Genetic Tabu Search for robust channel assignment under dynamic traffic data. Computational Optimization and Applications 50(3): 483-506, 2011.  (pdf,doi)  Springer©
119. Fred Glover and Jin-Kao Hao. The Case for Strategic Oscillation. Annals of Operations Research 183(1): 163-173, 2011. Draft (pdf,doi) Springer© 
120. Fred Glover, Jin-Kao Hao, Gary Kochenberger. Polynomial unconstrainted binary optimisation - Part 1. International Journal of Metaheuristics 1(3):232-256, 2011. (pdf), Inderscience Publishers©
121. Fred Glover, Jin-Kao Hao, Gary Kochenberger. Polynomial unconstrainted binary optimisation - Part II. International Journal of Metaheuristics 1(4): 317-354, 2011. (pdf), Inderscience Publishers©
122. Zhipeng Lü, Fred Glover, Jin-Kao Hao. A Hybrid Metaheuristic Approach to Solving the UBQP Problem. European Journal of Operational Research 207(3): 1254-1262, 2010. (pdf, doi) Elsevier© 
123. Zhipeng Lü and Jin-Kao Hao. A Memetic Algorithm for Graph Coloring. European Journal of Operational Research 203(1): 241-250, 2010. (pdf, doi) Elsevier© (Program Code is HERE, Readme is HERE)
124. Zhipeng Lü and Jin-Kao Hao. Adaptive Tabu Search for Course Timetabling. European Journal of Operational Research 200(1): 235-244, 2010. (pdf, doi) Elsevier© 
125. Fred Glover, Zhipeng Lü, Jin-Kao Hao. Diversification-Driven Tabu Search for Unconstrained Binary Quadratic Problems. 4OR -A Quarterly Journal of Operations Research 8(3): 239-253, 2010. Draft (pdf, doi) Springer© 
126. Jean-Philippe Hamiez, Jin-Kao Hao, Fred Glover. A study of tabu search for coloring random 3-colorable graphs around phase transition. International Journal of Applied Metaheuristic Computing 1(4): 1-24, 2010. (pdf, doi), IGI Global©.
127. Giglia Gomez Villouta, Jean-Philippe Hamiez, Jin-Kao Hao. A reinforced tabu search approch for 2D strip packing. International Journal of Applied Metaheuristic Computing 1(3): 20-36, 2010. (pdf, doi) IGI Global©. 
128. Fred Glover and Jin-Kao Hao. Fast 2-flip Move Evaluations for Binary Unconstrained Quadratic Optimization Problems. International Journal of Metaheuristics 1(2):100-107, 2010. Draft (pdf), Inderscience Publishers©
129. Fred Glover and Jin-Kao Hao. Efficient Evaluation for Solving 0-1 Unconstrained Quadratic Optimization Problems. International Journal of Metaheuristics 1(1): 3-10, 2010. (pdf), Inderscience Publishers©
130. Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz. An Evolutionary Approach with Diversity Guarantee and Well-Informed Grouping Recombination for Graph Coloring. Computers & Operations Research 37(10): 1822-1832, 2010. (pdf, doi) Elsevier©
131. Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz. A Search Space Cartography for Guiding Graph Coloring Heuristics. Computers & Operations Research 37(4): 769-778, 2010. (pdf, doi) Elsevier©
132. Edmundo Bonilla Huerta, Béatrice Duval, Jin-Kao Hao, A Hybrid LDA and Genetic Algorithm for Gene Selection and Classification of Microarray Data. Neurocomputing 73(13-15): 2375-2383, 2010. (pdf, doi) Elsevier© (Extended version of PRIB'08 paper)
133. Béatrice Duval and Jin-Kao Hao. Advances in Metaheuristics for Gene Selection and Classification of Microarray Data. Briefings in Bioinformatics 11(1): 127-141, 2010. (pdf), Oxford Journals©
134. Valérie Guihaire and Jin-Kao Hao. Transit Network Timetabling and Vehicle Assignment for Regulating Authorities. Computers & Industrial Engineering 59(1): 16-23, 2010. (pdf, doi) Elsevier©
135. Benoit Laurent and Jin-Kao Hao. Iterated Local Search for the Multiple Depot Vehicle Scheduling Problem. Computers & Industrial Engineering 57(1): 277-286, 2009. (pdf, doi), Elsevier©
136. Benoit Laurent and Jin-Kao Hao. List Graph Coloring for Multi-depot Vehicle Scheduling. International Journal of Mathematics in Operational Research 1(1-2): 228-245, 2009. (pdf), Inderscience Publishers©
137. Wassim Ayadi, Mourad Elloumi, Jin-Kao Hao. A Biclustering Algorithm based on a Bicluster Enumeration Tree: Application to DNA Microarray Data. BioData Mining 2:9, 2009. (pdf, doi), Springer©
138. Jean-Philippe Hamiez, Jin-Kao Hao. Using Solution Properties within an Enumerative Search to Solve a Sports League Scheduling Problem. Discrete Applied Mathematics 156(10): 1683-1693, 2008. (pdf) Elsevier©
139. Eduardo Rodriguez-Tello, Jin-Kao Hao,  José Torres-Jimenez. An improved Simulated Annealing algorithm for bandwidth minimization. European Journal of Operational Research 185(3): 1319-1335, 2008. (pdf) Elsevier©
140. Eduardo Rodriguez-Tello, Jin-Kao Hao and José Torres-Jimenez. An effective two-stage simulated annealing algorithm for the Minimum Linear Arrangement problem. Computers & Operations Research 35(10): 3331-3346, 2008. (pdf) Elsevier©
141. Valérie Guihaire and Jin-Kao Hao. Transit network design and scheduling: a global review. Transportation Research Part A: Policy and Practice 42: 1251-1273, 2008. (pdf, doi), Elsevier©
142. Adrien Goëffon, Jean-Michel Richer and Jin-Kao Hao, Progressive tree neighborhood applied to the Maximum Parsimony problem. IEEE/ACM Transactions on Computational Biology and Bioinformatics 5(1): 136-145, 2008. (pdf, doi) IEEE CSP©. Software is available HERE.
143. Edmundo Bonilla Huerta, Béatrice Duval and Jin-Kao Hao, Fuzzy logic for elimination of redundant information of microarray data. Genomics Proteomics & Bioinformatics 6(2): 61-73, 2008. (pdf) Elsevier©
144. Benoit Laurent and Jin-Kao Hao. Simultaneous vehicle and driver scheduling: a case study in a limousine rental company. Computers & Industrial Engineering 53(3): 542-558, 2007. (pdf, doi) Elsevier©
145. Frédéric Lardeux, Frédéric Saubion and Jin-Kao Hao, GASAT: a genetic local search algorithm for the satisfibility problem. Evolutionary Computation 14(2): 223-253, 2006. (pdf)  MIT Press©
146. José Crispin Hernandez Hernandez, Béatrice Duval and Jin-Kao Hao. A counting technique based on SVM-RFE for selection and classification of microarray data. Research in Computing Science 23: 99-107, 2006.
147. Hakim Mabed, Alexandre Caminada and Jin-Kao Hao, Impact of tradeoff between blocking and interference on TDMA cell capacity planning. International Journal of Mobile Network Design and Innovation, (1)1:24-33, 2005. Inderscience Publishers©.
148. Hervé Deleau, Jin-Kao Hao and Frédéric Saubion, Hybrid strategies for solving constraint satisfaction problems (in French). RAIRO Operational Research 39:87-103, 2005. (pdf) EDP Sciences©.
149. Jean-Philippe Hamiez and Jin-Kao Hao, A linear-time algorithm to solve the sports league scheduling problem. Discrete Applied Mathematics 143: 252-265, 2004.  (postscript) (pdf) Elsevier©.
     
150. Philippe Galinier and Jin-Kao Hao, A general approach for constraint solving by local search. Journal of Mathematical Modelling and Algorithms 3(1): 73-88, 2004. (pdf)  Springer©
151. Vincent Barichard and Jin-Kao Hao, Genetic tabu search for the multi-objective knapsack problem. Journal of Tsinghua Science and Technology, 8(1): 8-13, 2003. (postscript) (pdf) Elsevier©.
     
152. Michel Vasquez and Jin-Kao Hao, Upper bounds for the SPOT 5 daily photograph scheduling problem. Journal of Combinatorial Optimization 7(1): 87-103, 2003. (postscript) (pdf)  Springer©
153. Nicolas Pech-Gourg, Jin-Kao Hao, Métaheuristiques pour l'optimisation de règles de classification de bouchons naturels en liege. Revue d'Intelligence Artificielle 16(6): 785-806, Hermes, 2002.
154. Michel Vasquez and Jin-Kao Hao, A heuristic approach for antenna positioning in cellular networks. Journal of Heuristics 7(5): 443-472, 2001. (postscript) (pdf)  Springer©
155. Michel Vasquez and Jin-Kao Hao, A "logic-constrained" knapsack formulation and a Tabu algorithm for the daily photograph scheduling of an earth observation satellite. Computational Optimization and Applications 20(2): 137-157, 2001. (postscript) (pdf)  Springer©
156. Michel Vasquez and Jin-Kao Hao, Une approche hybride pour le problème de sac-à-dos multidimensionnel. RAIRO Operational Research 35(4): 415-438, 2001. (pdf)  EDP Sciences©
157. Philippe Galinier and Jin-Kao Hao, Hybrid evolutionary algorithms for graph coloring. Journal of Combinatorial Optimization. 3(4): 379-397, 1999. (pdf)  Springer©
158. Jin-Kao Hao, Philippe Galinier and Michel Habib, Metaheuristiques pour l'optimisation combinatoire et l'affectation sous contraintes. Revue d'Intelligence Artificielle 13(2): 283-324, 1999. (pdf) Hermes.
     
159. Jin-Kao Hao, Raphaël Dorne and Philippe Galinier, Tabu search for frequency assignment in mobile radio networks. Journal of Heuristics 4(1): 47-62, 1998. (postscript or pdf)  Springer©

1. Jintong Ren, Jin-Kao Hao, Eduardo Rodriguez-Tello. A study of recombination operators for the Cyclic Bandwidth Problem. In Idoumghar et al. (Eds.) Revised selected papers, 14th International Conference on Artificial Evolution (EA 2019), France, October 29-30, 2019, Lecture Notes in Computer Science 12052: 177-191, 2020. (pdf, doi) Springer©. 
2. Wen Sun, Jin-Kao Hao, Xiangjing Lai, Qinghua Wu. On feasible and infeasible search for equitable graph coloring. Proceedings of GECCO-2017, pages 369-376, July 15-19, 2017. Berlin, Germany. (pdf) ACM Press©.
3. Yangming Zhou and Jin-Kao Hao. A fast heuristic algorithm for the critical node problem. (2-page abstract), GECCO-2017 Companon, pages 121-122, July 15-19, 2017. Berlin, Germany. (pdf) ACM Press©.
4. Arnaud Liefooghe, Sébastien Verel, Luis Paquete, Jin-Kao Hao. Experiments on Local Search for bi-objective unconstrained binary quadratic programming.In A. Gaspar-Cunha et al. (Eds): EMO 2015, Lecture Notes in Computer Science 9018: 171-186, 2015. (pdf) Springer©.
5. Brahim Chabane, Matthieu Basseur, Jin-Kao Hao. A practical case of the multiobjective knapsack problem: Design, modelling, tests and analysis. In L. Jourdan et al. (Eds.): LION 2015, Lecture Notes in Computer Science 8994: 1–7, 2015. (Short paper) (pdf) Springer©.
   
6. Inès Sghir, Jin-Kao Hao, Inès Ben Jaafar, Khaled Ghédira. A distributed hybrid algorithm for the graph coloring problem. Selected and revised paper from AE 2015, Lecture Notes in Computer Science  2016 (to appear). (pdf) Springer©.
7. Zhanghua Fu and Jin-Kao Hao. Knowledge Guided Tabu Search for the Prize Collecting Steiner Tree Problem in Graphs. Workshop of the 11th DIMACS Implementation Challenge in Collaboration with ICERM: Steiner Tree Problems. Providence, Rhode Island, USA, December 4-5, 2014. (pdf). (Informal Proceedings)
8. Una Benlic and Jin-Kao Hao. Breakout local search for the vertex separator problem. In F. Rossi (Ed.): Proc. of the 23th Intl. Joint Conference on Artificial Intelligence (IJCAI-13), IJCAI/AAAI Press, pages 461-467, Beijing, China, August 2013. (pdf). (Program Code is available HERE)
9. Una Benlic and Jin-Kao Hao. A study of adaptive diversification strategy for iterated local search. In M. Middendorf and C. Blum (Eds.): EvoCOP 2013, Lecture Notes in Computer Science 7832: 61-72, 2013. (pdf) Springer©.
10. François Schwarzentruber and Jin-Kao Hao. Drawing Euler diagrams from region connection calculus specifications with local search. In E. Fermé and J. Leite (Eds.): JELIA 2014, Lecture Notes in Artificial Intelligence 8761: 582-590, 2014. 5system demonstration paper) (pdf) Springer©. (The drwaing software tool is available here).
    
11. Olivier Gach and Jin-Kao Hao. Improving the Louvain algorithm for community detection with modularity maximization. In P. Legrand et al. (Eds): Selected and revised paper from AE 2013, Lecture Notes in Computer Science 8752: 145-156, 2014. (pdf) Springer©. (Program Code is available HERE)
12. Inès Sghir, Jin-Kao Hao, Inès Ben Jaafar, Khaled Ghédira. A Recombination-based tabu search algorithm for the winner determination problem. In P. Legrand et al (Eds): Selected and revised paper from AE 2013, Lecture Notes in Computer Science 8752: 157-168, 2014. (pdf) Springer©.
13. Rongqiang Zeng, Matthieu Basseur, Jin-Kao Hao. Hypervolume-Based Multi-Objective Path Relinking Algorithm. In P. C. Purshouse, P. J. Fleming and C. M. Fonseca (Eds.): EMO 2013, Lecture Notes in Computer Science 7811: 185-199, 2013. (pdf) Springer©.
14. Oliver Gach and Jin-Kao Hao. A Memetic Algorithm for Community Detection in Complex Networks. In C. Coello Coello, V. Cutello, K. Deb, S. Forrest, G. Nicosia, M. Pavone (Eds.): PPSN 2012, Lecture Notes in Computer Science 7492: 327-336, 2012. (pdf) Springer©
15. Qinghua Wu and Jin-Kao Hao. A Memetic Approach for the Max-Cut Problem. In C. Coello Coello, V. Cutello, K. Deb, S. Forrest, G. Nicosia, M. Pavone (Eds.): PPSN 2012, Lecture Notes in Computer Science 7492: 297-306, 2012. (pdf) Springer©
16. Una Benlic and Jin-Kao Hao. A Study of Breakout Local Search for the Minimum Sum Coloring problem. In L. T. Bui et al. (Eds.) SEAL 2012, Lecture Notes in Computer Science 7673: 128-137, 2012. (pdf) Springer©
17. Yang Wang, Zhipeng Lü, Fred Glover, Jin-Kao Hao. A Multilevel Algorithm for Large Unconstrained Binary Quadratic Optimization. In N. Beldiceanu, N. Jussien, E. Pinson (Eds.): CPAIOR 2012, Lecture Notes in Computer Science 7298: 395-408, 2012. (pdf) Springer©
18. Sami Laroum, Dominique Tessier, Béatrice Duval, Jin-Kao Hao. A genetic algorithm for scaled-based translocon simulation. In T. Shibuya, H. Kashima, J. Sese, S. Ahmad (Eds.): PRIB 2012, Lecture Notes in Computer Science 7632: 2012. Draft (pdf) Springer©
19. Daniel Porumbel, Jin-Kao Hao, Pascale Kuntz. Spacing memetic algorithms. Proceedings of GECCO-2011, pages 1061-1068, July 12-16, 2011. Dublin, Ireland. Draft (pdf) ACM Press©.
20. Yang Wang, Zhipeng Lü, Fred Glover, Jin-Kao Hao. Effective Variable Fixing and Scoring Strategies for Binary Quadratic Programming. In P. Merz, J.K. Hao. (Eds.): EvoCOP 2011, Lecture Notes in Computer Science 6622: 72-83, 2011. Draft (pdf) Springer©
21. Sami Laroum, Dominique Tessier, Béatrice Duval, Jin-Kao Hao. Multi-neighborhood search for discrimination of signal peptides and transmembrane segments. In M. Giacobini, M.D. Ritchie, C. Pizzuti (Eds.): EvoBIO 2011, Lecture Notes in Computer Science 6623: 134-145, 2011. Draft (pdf) Springer©
22. Yang Wang, Zhipeng Lü, Jin-Kao Hao. A Study of Multi-Parent Crossover Operator in a Memetic Algorithm. In R. Schaerfer et al. (Eds.): PPSN 2010, Lecture Notes in Computer Science 6238: 556-565, 2010. Draft (pdf) Springer©
23. Zhipeng Lü, Jin-Kao Hao, Fred Glover. A Study of Memetic Search with Multi-parent Combination for UBQP. In P.I. Cowling, P. Merz (Eds.): EvoCOP 2010, Lecture Notes in Computer Science 6022: 145-165, 2010. Draft  (pdf) Springer©
24. Una Benlic and Jin-Kao Hao. An Effective Multilevel Memetic Algorithm for Balanced Graph Partitioning. In E. Grégoire (Ed.): ICTAI 2010, pages 121-128, 2010. Draft (pdf)  IEEE CSP©
25. Wassim Ayadi, Mourad Elloumi, Jin-Kao Hao. Iterated Local Search for Biclustering of Microarray Data. In T. Dijkstra et al. (Eds.). PRIB 2010, Lecture Notes in Bioinformatics 6282: 211-221, 2010. Draft (pdf) Springer©
26. Sami Laroum, Dominique Tessier, Béatrice Duval, Jin-Kao Hao. A Local Search Approach for Transmembrane Segment and Signal Peptide Discrimination. In C. Pizzuti, M.D. Ritchie, M. Giacobini (Eds.): EvoBIO 2010, Lecture Notes in Computer Science 6023: 134-145, 2010. Draft (pdf) Springer©
27. Giglia Gomez Villouta, Jean-Philippe Hamiez, Jin-Kao Hao.Tabu Search with Consistent Neighbourhood for Strip Packing. In C. Fyfe, N. Garcia-Pedrajas, F. Herrera, M. Ali (Eds.): IEA/AIE 2010, Lecture Notes in Artificial Intelligence 6096: 1-10, 2010. (pdf) Springer© 
28. Valérie Guihaire and Jin-Kao Hao. Improving Timetable Quality in Scheduled Transit Networks. In C. Fyfe, N. Garcia-Pedrajas, F. Herrera, M. Ali (Eds.): IEA/AIE 2010, Lecture Notes in Artificial Intelligence 2096: 21-30, 2010. (pdf) Springer©
29. Zhipeng Lü, Fred Glover, Jin-Kao Hao. Neighborhood Combination for Unconstrained Binary Quadratic Problems. Metaheuristics International Conference (MIC-2009), extended version, 2012 (pdf).
    
30. Béatrice Duval, Jin-Kao Hao, José Crispin Hernandez Hernandez. A Memetic Algorithm for Gene Selection and Molecular Classification of Cancer. Proc. of 11th Annual Conference on Genetic and Evolutionary Computation (GECCO-09), pages 201-208, Montreal, Canada, July 2009. ACM Press. (pdf) ACM Press©
31. Jean-Michel Richer, Adrien Goëffon, Jin-Kao Hao. A Memetic Algorithm for Phylogenetic Reconstruction with Maximum Parsimony. In C. Pizzuti, M.D. Ritchie, and M. Giacobini (Eds.): EvoBIO 2009, Lecture Notes in Computer Science 5483: 164-175, 2009. (pdf) Springer©
32. Zhipeng Lü and Jin-Kao Hao. A Critical Element-Guided Perturbation Strategy for Iterated Local Search. In C. Cotta and P. Cowling (Eds.): EvoCOP 2009, Lecture Notes in Computer Science 5482: 1–12. 2009. (pdf) Springer©. 
33. Jean-Philippe Hamiez, Julien Robet, Jin-Kao Hao. A Tabu Search Algorithm with Direct Representation for Strip Packing. In C. Cotta and P. Cowling (Eds.): EvoCOP 2009, Lecture Notes in Computer Science 5482: 61–72, 2009. (pdf) Springer©
34. Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz. Position-Guided Tabu Search Algorithm for the Graph Coloring Problem. In T. Stuetzle (Ed.), selected papers from Learning and Intelligent OptimizatioN (LION III), Lecture Notes in Computer Science 5851: 148-162, 2009. (pdf) Springer©
35. Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz. Diversity Control and Multi-Parent Recombination for Evolutionary Graph Coloring Algorithms. In C. Cotta and P. Cowling (Eds.): EvoCOP 2009 (Best Paper Nominee), Lecture Notes in Computer Science 5482: 121–132, 2009. (pdf) Springer©.
36. Valérie Guihaire and Jin-Kao Hao. Transit network re-timetabling and vehicle scheduling? Le Thi Hoai An, Pascal Bouvry, Pham Dinh Tao (Eds.): MCO 2008, Communications in Computer and Information Science (CCIS) 14: 135-144, Springer, 2008 (pdf) Springer©
37. Edmundo Bonilla Huerta, Béatrice Duval and Jin-Kao Hao, Gene selection for Microarray data by a LDA-based genetic algorithm. Madhu Chetty, Alioune Ngom, Shandar Ahmad (Eds.): PRIB 2008, Lecture Notes in Bioinformatics 5265: 252-263, Springer-Verlag, 2008 (pdf) Sprigner©
38. José Crispin Hernandez Hernandez, Béatrice Duval and Jin-Kao Hao, SVM-based local search for gene selection and classification of Microarray data. Communications in Computer and Information Science (CCIS) 13: 599-598, Springer, 2008 (pdf) Springer©
39. Zhipeng Lü and Jin-Kao Hao. Solving the course timetabling problem with a hybrid heuristic algorithm. Lecture Notes in Computer Science 5253: 262-273, Springer, 2008, Draft (pdf) Springer©
40. Benoït Laurent and Jin-Kao Hao, Simultaneous vehicle and crew scheduling for extra urban transports. Lecture Notes in Artificial Intelligence 5027: 466–475, Springer, 2008, Draft (pdf) Springer©
41. Benoit Laurent and Jin-Kao Hao, A study of neighborhood structures for the multiple depot vehicle scheduling problem. Lecture Notes in Computer Science 4638: 197-201, Springer, 2007 (pdf) Springer© 
42. Daniel Porumbel, Jin-Kao Hao and Pascale Kuntz, A study of evaluation functions for the graph K-coloring problem. Selected papers from the 8th International Conference on Artificial Evolution (AE-07). Lecture Notes in Computer Science 4926: 124-135, Springer, 2008. (pdf) Springer©
43. José Crispin Hernandez Hernandez, Béatrice Duval and Jin-Kao Hao. A study of crossover operators for gene selection of microarray data. Selected papers from the 8th International Conference on Artificial Evolution (AE-07). Lecture Notes in Computer Science 4926: 243-254, Springer, 2008. (pdf) Springer©
44. José Crispin Hernandez Hernandez, Béatrice Duval and Jin-Kao Hao. A genetic embedded approach for gene selection and classification of microarray data. EvoBIO 2007, Lecture Notes in Computer Science 4447: 90-101, Springer, 2007. (pdf) Springer©
45. Giglia Gomez Villouta, Jean-Philippe Hamiez, Jin-Kao Hao. A dedicated genetic algorithm for two-dimensional non-guillotine strip packing. MICAI 2007, Special Session, pages 264-274, 2007. (pdf) IEEE Press.
46. Jean-Michel Richer, Vincent Derrien, and Jin-Kao Hao. A new dynamic programming algorithm for multiple sequence alignment. COCOA 2007, Lecture Notes in Computer Science 4616: 52-61, Springer-Verlag, 2007. (pdf) Springer©
47. Eduardo Rodriguez-Tello, Jin-Kao Hao and José Torres-Jimenez,  A refined evaluation function for the MinLA problem. Lecture Notes in Artificial Intelligence: 4293: 392-403, Springer-Verlag, 2006 (5th Mexican International Conference on Artificial Intelligence, Best paper award, 3rd price), (pdf) Springer©
48. Jean-Philippe Hamiez and Jin-Kao Hao, Sports league scheduling: enumerative searh for Prob026 from CSPLib. CP-06, Lecture Notes in Computer Science 4204: 716-720, Springer-Verlag, 2006. (pdf) Springer©
49. Adrien Goëffon, Jean-Michel Richer and Jin-Kao Hao, A distance-based information preservation tree crossover for the maximum parsimony problem. PPSN-06, Lecture Notes in Computer Science 4193: 761-770, Springer-Verlag, 2006. (pdf) Springer©. Software is available HERE.
50. Edmundo Bonilla Huerta, Béatrice Duval and Jin-Kao Hao, A hybrid GA/SVM approach for gene selection and classification of Microarry data. EvoWorkshops 2006, Lecture Notes in Computer Science 3907: 34-44, Springer, 2006. (pdf) Springer©
51. Benoit Laurent, Valerie Guihaire and Jin-Kao Hao, A heuristic solution for a driver-vehicule scheduling problem. Operations Research Proceedings 2005: 703-708, Springer-Verlag, 2006. (pdf) Springer©
52. Eduardo Rodriguez-Tello, Jin-Kao Hao and Jose Torres-Jimenez, Memetic algorithms for the MinLA problem. Lecture Notes in Computer Science 3871: 73-84, Springer-Verlag, 2006. (pdf) Springer©
53. Eduardo Rodriguez-Tello, Jin-Kao Hao and J. Torres-Jimenez, A comparison of memetic recombination operators for the MinLA problem. MICAI-05, Lecture Notes in Computer Science 3789: 613-622, Springer, 2005. (pdf) Springer©
54. Adrien Goëffon, Jean-Michel Richer and Jin-Kao Hao, Local search for the maximum parsimony problem. Lecture Notes in Computer Science 3612: 678-683. Springer-Verlag, 2005. (pdf) Springer©
55. Vincent Derrien, J.M. Richer and Jin-Kao Hao, Plasma, a progressive algorithm for multiple sequence alignment (in French). Proceedings of French Open Days on Biology, Computer Science and Mathematics (JOBIM-05), Lyon, July 6-8 2005. (pdf). To use our Plasma multiple alignment tool, click here.
56. Frédéric Lardeux, Frédéric Saubion and Jin-Kao Hao, Three truth values for SAT and MAX-SAT problems. Proc. of the 19th International Joint Conference on Artificial Intelligence (IJCAI-05), pp187-192, Edinburgh, July-August, 2005. (pdf)
57. Eduardo Rodriguez-Tello, Jin-Kao Hao, Jose Torres-Jimenez, An improved evaluation function for the bandwidth minimization problem. PPSN-04, Lecture Notes in Computer Science 3242: 650-659, Springer-Verlag, 2004. (pdf)  Springer©
58. Vincent Barichard, Hervé Deleau, Jin-Kao Hao, Frédéric Saubion, A hybrid evolutionary algorithm for constraint satisfaction problems. Selected papers from AE-03, Lecture Notes in Computer Science 2936: 79-90, Springer-Verlag, 2004. (pdf)  Springer©
59. Frédéric Lardeux, Frédéric Saubion and Jin-Kao Hao, Recombination operators for satisfiability problems. Selected papers from AE-03, Lecture Notes in Computer Science 2936: 103-114, Springer-Verlag, 2004. (pdf)  Springer©
60. Vincent Barichard and Jin-Kao Hao, A population and interval constraint propagation algorithm. EMO-03, Lecture Notes in Computer Science 2632: 88-101, Springer-Verlag, 2003. (postscript) (pdf)
61. Jin-Kao Hao, Frédéric Lardeux and Frédéric Saubion, Evolutionary computing for the satisfiability problem. EvoWorkshops 2003, Lecture Notes in Computer Science  2611: 258-268, Springer-Verlag, 2003. (postscript) (pdf)  Springer©
62. Hakim Mabed, Alexandre Caminada and Jin-Kao Hao, Multi-period channel assignment. PWC-02, Lecture Notes in Computer Science 2775: 541-554, Springer-Verlag, 2003. (pdf)  Springer©
63. Hakim Mabed, Alexandre Caminada, Jin-Kao Hao and Denis Renaud, A dynamic traffic model for frequency assignment.PPSN-02, Lecture Notes in Computer Science 2439: 779-788, Springer-Verlag, 2002. (pdf)  Springer©
64. Jean-Philippe Hamiez and Jin-Kao Hao, Scatter search for graph coloring. Selected papers from AE-01, Lecture Notes in Computer Science 2310: 168-179, Springer-Verlag, 2002. (postscript) (pdf)  Springer©
65. Mériéma Bélaidouni and Jin-Kao Hao, SAT, local search dynamics and density of states. Selected papers from AE-01, Leture Notes in Computer Science 2310: 192-204, Springer, 2002. (postscript) (pdf)  Springer©
66. Jean-Philippe Hamiez and Jin-Kao Hao, Solving the sports league scheduling problem with Tabu search. Lecture Notes in Artificial Intelligence 2148: 24-36, Springer-Verlag, 2001. (postscript) (pdf).  Springer©
67. Michel Vasquez and Jin-Kao Hao, A hybrid approach for the multidimensional 0-1 knapsack problem. Proc. of the 17th Intl. Joint Conference on Artificial Intelligence (IJCAI-01), pages 328-333, Seattle, Washington, USA, August 2001. Morgan Kaufmann Publishers. (postscript) (pdf)
68. Nicolas Pech-Gourg and Jin-Kao Hao, A genetic algorithm for the classification of natural corks. Proc. of 2001 Genetic and Evolutionary  Computation Conference (GECCO-01), pages 1382-1388, San Francisco, California, July 2001. Morgan Kaufmann Publishers. (postscript) (pdf)
69. Mériéma Bélaidouni and Jin-Kao Hao, Analysis of the configuration space of the maximal constraint satisfaction problem. PPSN-00, Lecture Notes in Computer Science 1917: 49-58, Springer-Verlag, 2000 (postscript) (pdf) Springer©
70. Mériéma Bélaidouni and Jin-Kao Hao, Landscapes of the maximal constraint satisfaction problem. AE-00, Lecture Notes in Computer Science 1829: 244-255, Springer-Verlag, 2000. (postscript) (pdf)  Springer©
71. Mériéma Bélaidouni and Jin-Kao Hao, A measure of combinational landscape difficulty for the Metropolis algorithm. Artificial Intelligence and Mathematics VI, Fort Lauderdale, Florida, January 2000. (postscript)
72. Jean-Philippe Hamiez and Jin-Kao Hao, Recherche tabou et planification de rencontres sportives Tabu Search and sports league scheduling. RFIA 2000, Paris, Jan. 2000. (pdf)
73. Raphaël Dorne and Jin-Kao Hao, A new genetic local search algorithm for graph coloring. PPSN-98, Lecture Notes in Computer Science 1498: 745-754, Springer-Verlag, Sept. 1998. (Best Paper Nominee, Parallel Problem Solving from Nature - PPSN V, Amsterdam, The Netherlands, Sept, 1998) (postscript) (pdf)  Springer©
74. Jin-Kao Hao, Evelyne Lutton, Edmund Ronald, Marc Schoenauer and D. Snyers (Eds.), Selected papers from the European Conference on Artificial Evolution (AE-97), Nimes, Oct. 1997, Lecture Notes in Computer Science 1363, ISBN 3-540-64169-6, Springer-Verlag, 349 pages, February 1998.
75. Jin-Kao Hao and Jérôme Pannier, Simulated annealing and tabu search for constraint solving. Artificial Intelligence and Mathematics V, Electronic Proceeding http://rutcor.rutgers.edu/~amai/Proceedings.html, January 1998. (postscript) (pdf)
76. Jin-Kao Hao and Jérôme Pannier, Etude expérimentale de recherche locale pour la résolution de contraintes. 11eme Congres on Reconnaissance des Formes et Intelligence Artificielle (RFIA-98), Vol. II, pp97-106, Jan. 1998. (postscript) (pdf)
77. Philippe Galinier and Jin-Kao Hao, Tabu search for maximal constraint satisfaction problems. CP-97, Lecture Notes in Computer Science 1330: 196-208, Springer-Verlag, Nov., 1997. (postscript) (pdf)  Springer©
78. Raphaël Dorne and Jin-Kao Hao, Constraint handling in evolutionary search: a case study on frequency assignment. PPSN-96, Lecture Notes in Computer Science 1141 : 801-810, Sept. 1996. (postscript) (pdf)  Springer©
79. Jin-Kao Hao and Raphaël Dorne, Empirical studies of heuristic local search for constraint solving. CP-96, Lecture Notes in Computer Science 1118: 194-208, Aug. 1996. (postscript) (pdf)  Springer©
80. Jin-Kao Hao and Laurent. Tetart, CH-SAT: a complete procedure for satisfiability problems. ECAI-96 Workshop on Advances in Propositional Deduction, pp27-38, Aug. 1996. (postscript) (pdf)
81. Raphaël Dorne and Jin-Kao Hao, An evolutionary approach for frequency assignment in cellular radio networks. Proc. of IEEE Intl. Conf. on Evolutionary Computation, Perth, Australia, Nov.-Dec. 1995, IEEE Press. pp539-544. (postscript) (pdf)
82. Jin-Kao Hao and Raphaël Dorne, Study of genetic search for the frequency assignment problem. AE-1995 Lecture Notes in Computer Science 1063: 333-344, Sept. 1995. (postscript) (pdf) Springer©
83. Jin-Kao Hao, A clausal genetic representation and its related evolutionary procedures for satisfiability problems. Proc. of Intl. Conf. on Artificial Neural Nets & Genetic Algorithms, pp289-295, April 1995. (postscript) (pdf)  Springer©
84. Jin-Kao Hao and Raphaël Dorne, A new population-based method for satisfiability problems. Proc. of 11th European Conf. on Artificial Intelligence (ECAI-94), John Wiley & Sons, pp135-139, Amsterdam, Aug. 1994. (postscript) (pdf)
85. Jin-Kao Hao and Raphaël Dorne, An empirical comparison of two evolutionary methods for satisfiability problems. Proc. of IEEE Intl. Conf. on Evolutionary Computation (IEEE CEC-94), IEEE Press, pp450-455, June-July 1994. (pdf)
86. Jin-Kao Hao, Jean-Jacques Chabrier. A partial evaluator and its application to constraint logic programming. Proc. of 3rd Intl. Conf. of Young Computer Scientists, pp2.23-2.28, Beijing, Chine, July 1993, Tsinghua University Press.
87. Jin-Kao Hao, François Trousset, Jean-Jacques Chabrier, Prototyping an Inconsistency Checking Tool for Software Process Models.  Proc. of The 4th Intl. Conf. on on Software Engineering and Knowledge Engineering (SEKE-92), pages 227-234, June, 15-20 1992, Capri, Italy. Press of Knowhttps://web.fe.up.pt/~epia2017/ledge Systems Institute 1992. (pdf) 
88. Jin-Kao Hao, Jean-Jacques Chabrier, A modular architecture for constraint logic programming. Proc. of 19th ACM Computer Science Conference (ACM CSC-91), San Antonio, ACM Press, pp203-210, March 1991.
89. Jin-Kao Hao, Jean-Jacques Chabrier, Combining partial evaluation and constraint solving: a new approach to constraint logic programming. Proc. of 2nd IEEE Intl. Conf. on Tools for Artificial Intelligence (ICTAI-90), pp494-500, Washington D.C., Nov. 1990, IEEE CS Press. (pdf)
90. Jin-Kao Hao, Jean-Jacques Chabrier, An Interval calculus based Finite Domain Constraint Solver and its implementation in Prolog. Prof of 5th Rocky Mountain Conference on Artificial Intelligence (RMCAI-90), At Las Cruces New Mexico USA, Volume: Pragmatics in Artificial Intelligence pp 326- 331. 1990. (pdf)

Thesis and tutorial

1. Jin-Kao Hao, Metaheuristics for combinatorial optimization (slides of a tutorial). April 2001 (English version is here pdf) (French version is here pdf)
2. Jin-Kao Hao, Metaheuristics for combinatorial optimization and constrained solving (in French). Habilitation thesis (Professorship Diploma), Univerisity of Montpellier II, January 1998.
3. Jin-Kao Hao, A study of partial evaluation for constraint logic programming (in French). Ph.D thesis, Université de Franch-Comté (defended at the Université de Bourgogne), February 1991.
4. Jin-Kao Hao, Rapid prototyping in Prolog. Master thesis, INSA de Lyon, 1997.

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