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Source Codes

Chinese Monographs

  • Licheng Jiao,Jing Liu, Weicai Zhong,CoevolutionaryComputation and Multiagent Systems, Science Press, China, 2006.

  • Licheng Jiao, Fang Liu, Shuiping Gou,Jing Liu, Li Chen,IntelligentData Mining and Knowledge Discovery, Xidian University Press, China, 2006 .

EnglishMonographs

  • David G. Green,Jing Liu, and Hussein A. Abbass,Dual Phase Evolution, Springer, 2013.

  • Licheng Jiao,Jing Liuand Weicai Zhong,Coevolutionary Computation and Multiagent Systems, WIT Press, UK, 2012. (It is a translated version of the corresponding Chinese monograph.)

Co-Edited International Conference Proceedings

  • Jing Liu, Cesare Alippi, Bernadette Bouchon-Meunier, Garrison W. Greenwood, and Hussein A. Abbass, Eds. ��Advances in Computational Intelligence,��Proceedings of Plenary/Invited Lectures of IEEE World Congress on Computational Intelligence, Springer LNCS 7311, Brisbane, Australia, 2012.

  • Licheng Jiao, Lipo Wang, Xinbo Gao,Jing Liu, Feng Wu, Eds. ��Advances in Natural Computation,��Proceedings of the 2nd International Conference on Natural Computation, Parts I, II, Springer LNCS4221, 4222, Xi��an, China, 2006.

  • Lipo Wang, Licheng Jiao, Guangming Shi, Xue Li,Jing Liu, Eds. ��Fuzzy Systems and Knowledge Discovery,��Proceedings of the 3rd International Conference on Fuzzy Systems and Knowledge Discovery, Springer LNAI 4223, Xi��an, China, 2006.

Book Chapters

  • Jing Liu, Weicai Zhong, and Licheng Jiao, Multi-agent evolutionary model for global numerical optimization,Agent Based Evolutionary Search, Springer series in Evolutionary Learning and Optimization, 2010.

  • Licheng Jiao, Maoguo Gong,Jing Liu, Non-Darwinian Evolutionary Mechanism and Natural Computation, inArtificial Intelligence: Review and Prospect, Xuyan Tu (eds.), Science Press, China, 2006 (in Chinese).

International Journal Papers

  1. Chenlong Liu,Jing Liu(Corresponding Author), Zhongzhou Jiang, ��A multi-objective evolutionary algorithm based on similarity for community detection from signed social networks,��IEEE Trans. on Cybernetics, 44(12), pp. 2274-2287, 2014.

  2. Mingxing Zhou andJing Liu(Corresponding Author), ��A memetic algorithm for enhancing the robustness of scale-free networks against malicious attacks,��Physica A: Statistical Mechanics and its Applications, 410, pp. 131�C143, 2014.

  3. Yadong Li,Jing Liu(Corresponding Author), and Chenlong Liu, ��A comparative analysis of evolutionary and memetic algorithms for community detection from signed social networks,��Soft Computing,18(2): 329-348, 2014.

  4. Xiong Jian,Jing Liu, Yingwu Chen, and Hussein A. Abbass, ��A knowledge-based evolutionary multi-objective approach for stochastic extended resource investment project scheduling problems,��IEEE Trans. on Evolutionary Computation, 2014, 18(5): 742-763.

  5. Weicai Zhong,Jing Liu(Corresponding Author), and Li Zhang, ��Evolutionary dynamics of continuous strategy games on graphs and social networks under weak selection,��Biosystems, 2013, 111(2): 102-110.

  6. Weicai Zhong, Bijan Raahemi andJing Liu,��Classifyingpeer-to-peer applications using imbalanced concept-adapting very fast decision tree on IP data stream,��Peer-to-Peer Networking and Applications, 2013, 6(3): 233-246.

  7. Ruochen Liu, Xiao Wang, Jing Liu, Lingfen Fang, Licheng Jiao, ��A preference multi-objective optimization based on adaptive rank clone and differential evolution,��Natural Computing, 2013, 12(1): 109-132.

  8. Jian Xiong, Yingwu Chen, Kewei Yang, andJing Liu, ��A decision support model for multi-attribute group decision making using a multi-objective optimization approach,��The International Journal of Computational Intelligence Systems, 2013, 6(2): 337-353.

  9. Jian Xiong, Ke-wei Yang,Jing Liu, Qing-song Zhao, and Ying-wu Chen, ��A two-stage preference-based evolutionary multi-objective approach for capability planning problems,��Knowledge-Based Systems, 2012, 31: 128-139.

  10. Carlton Downey, Mengjie Zhang, andJing Liu, ��Parallel linear genetic programming for multi-class classification��,Genetic Programming and Evolvable Machines, 2012, 13(3): 275-304.

  11. Jing Liu, Hussein A. Abbass, David G. Green, and Weicai Zhong, ��Motif difficulty (MD): A predictive measure of problem difficulty for evolutionary algorithms using network motifs,��Evolutionary Computation Journal(MIT), 2012, 20(3): 321-347. (doi:10.1162/EVCO_a_00045)

  12. Weicai Zhong andJing Liu(Corresponding Author), Comments on��Scale-free networks without growth,��Physica A, 2012, 391: 263-265.

  13. Li Zhang, Wei-Da Zhou, Pei-Chann Chang,Jing Liu, Zhe Yan, Ting Wang, and Fan-Zhang Li, ��Kernel sparse representation-based classifier,��IEEE Trans. on Signal Processing, 2012, 60(4): 1684-1695.

  14. Jing Liu, Hussein A. Abbass, Weicai Zhong, David G. Green, ��Local-global interaction and the emergence of scale-free networks with community structures,��Artificial Life, 2011, 17(4): 263-279. (doi:10.1162/ artl_a_00038)

  15. Lam T. Bui,Jing Liu(Corresponding Author), Axel Bender, Michael Barlow, Slawomir Wesolkowski, and Hussein A. Abbass,��DMEA: A direction-based multiobjective evolutionary algorithm,��Memetic Computing, 2011, 3(4): 271-285.

  16. Jing Liu, Jinshu Li, Weicai Zhong, Li Zhang, and Ruochen Liu, ��Minimum span frequency assignment based on a multiagent evolutionary algorithm,��International Journal of Swarm Intelligence Research, 2011, 2(3): 30-43.

  17. Xue Li,Jing Liu, Quan Z. Sheng, Sherali Zeadally, and Weicai Zhong, ��TMS-RFID: temporal management of large-scale RFID applications,��Information Systems Frontiers, Springer, 2011, 13(4): 481-500.

  18. Weicai Zhong, Hussein A. Abbass, Axel Bender, andJing Liu, ��Mixed strategy and coevolution dynamics in social networks,��Physica A, 2011, 390(2): 410-417. (doi:10.1016/j.physa.2010.09.031)

  19. Jing Liu, Weicai Zhong, and Licheng Jiao, ��A multiagent evolutionary algorithm for combinatorial optimization problems,��IEEE Trans. on Systems, Man, and Cybernetics, Part B, 2010, 40(1): 229-240.

  20. Ruochen Liu, Licheng Jiao, Yangyang Li, andJing Liu, ��An immune memory clonal algorithm for numerical and combinatorial optimization,��Front. Comput. Sci. China, 2010, 4(4): 536-559.

  21. Jing Liu, Xue Li, and Weicai Zhong, ��Ambiguousdecisiontrees forminingconcept-driftingdatastreams,��Pattern Recognition Letters, 2009, 30(15): 1347-1355.

  22. Bijan Raahemi, Weicai Zhong,andJing Liu,��Exploitingunlabeleddata toimprove Peer-to-Peertrafficclassificationusingincremental Tri-Trainingmethod,��Peer-to-Peer Networking and Applications, Springer, 2009, 2: 87-97.

  23. Jing Liu, Weicai Zhong, and Licheng Jiao, "Moving block sequence and organizational evolutionary algorithm for general floorplanning with arbitrarily shaped rectilinear blocks,"IEEE Trans. Evolutionary Computation, 2008, 12(5): 630-646.

  24. Jing Liu, Weicai Zhong, and Licheng Jiao, "An organizational evolutionary algorithm for numerical optimization,"IEEE Trans. System, Man, and Cybernetics��Part B, 2007, 37(4): 1052-1064.

  25. Jing Liu, Weicai Zhong, and Licheng Jiao, "Comments on 'the 1993 DIMACS Graph Coloring Challenge' and 'Energy Function-Based Approaches to Graph Coloring',"IEEE Trans. Neural Networks, 2006, 17(2): 533.

  26. Jing Liu, Weicai Zhong, and Licheng Jiao, "A multiagent evolutionary algorithm for constraint satisfaction problems,"IEEE Trans. Syst., Man, and Cybern. B, 2006, 36(1): 54-73.

  27. Licheng Jiao,Jing Liu, and Weicai Zhong, "An organizational coevolutionary algorithm for classification,"IEEE Trans. Evolutionary Computation, 2006, 10(1): 67-80.

  28. Weicai Zhong,Jing Liu, Mingzhi Xue, and Licheng Jiao, "A multiagent genetic algorithm for global numerical optimization,"IEEE Trans. System, Man, and Cybern. B, 2004, 34(2): 1128-1141.

International ConferencePapers

  1. Bingqi Cai andJing Liu, ��A study of representations for resource constrained project scheduling problems using fitness distance correlation,�� In:the Proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning(IDEAL'2013), Anhui, Hefei, October, 2013.

  2. Chen Zhu andJing Liu, ��A direction based multi-objective agent genetic algorithm,�� In:the Proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'2013), Anhui, Hefei, October, 2013.

  3. Lixia Wang andJing Liu, ��A scale-free based memetic algorithm for resource-constrained project scheduling problems,�� In:the Proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'2013), Anhui, Hefei, October, 2013.

  4. Xiaoxiao Yuan, Chuanfu Xiao, Xiyu Lv, andJing Liu, "A multi-agent genetic algorithm for resource constrained project scheduling problems," In:the Proceedings of the fifteenth annual conference companion on Genetic and Evolutionary Computation Conference (GECCO), Amsterdam, The Netherlands, July, 2013: 195-196.

  5. Jing Liuand Weicai Zhong, Continuous game dynamics on populations with a cycle structure under weak selection, In:the Proceedings of IEEE 2012 Congress on Evolutionary Computation (CEC), Brisbane, Australia, June 2012: 2279-2284.

  6. Jian Xiong,Jing Liu, Yingwu Chen and Hussein Abbass, ��An evolutionary multi-objective scenario-based approach for stochastic resource investment project scheduling,�� In:the Proceedings of IEEE 2011 Congress on Evolutionary Computation (CEC), New Orleans, USA, Jun. 2011: 2767-2774.

  7. Jiulei Geng andJing Liu, ��Image texture classification using a multi-agent evolutionary clustering algorithm,�� In:the Proceedings of IEEE 2011 Congress on Evolutionary Computation (CEC), New Orleans, USA, Jun. 2011: 504-508.

  8. Weicai Zhong, Yang Zhang andJing Liu,��Evolutionary dynamics of continuous strategy games on social networks under weak selection: A preliminary study,��In:the Proceedings of IEEE 2011 Congress on Evolutionary Computation (CEC), New Orleans, USA, Jun. 2011: 2514-2518.

  9. Xinrui Duan,Jing Liu, Ruochen Liu, and Licheng Jiao, ��A preference oriented two-layered multiagent evolutionary algorithm for multi-objective job shop problems,�� In:the Proceedings of the 8th International Conference on Simulated Evolution And Learning, Springer-Verlag, India, Dec. 2010: 553-557.

  10. Xinrui Duan,Jing Liu, Li Zhang, and Licheng Jiao ��Multi-objective job shop scheduling based on multiagent evolutionary algorithm,�� In:the Proceedings of the 8th International Conference on Simulated Evolution And Learning, Springer-Verlag, India, Dec. 2010: 543-552.

  11. Ruochen Liu, Qifeng Lei,Jing Liu, and Licheng Jiao, ��A population diversity-oriented gene expression programming for function finding,��In:the Proceedings of the 8th International Conference on Simulated Evolution And Learning, Springer-Verlag, India, Dec. 2010: 215-219.

  12. Jing Liu, Weicai Zhong, Hussein A. Abbass, and David Green, ��Separated and overlapping community detection in complex networks using multiobjective evolutionary algorithms,�� In:the Proceedings of IEEE 2010 Congress on Evolutionary Computation (CEC), Barcelona, Spain, July, 2010.

  13. Wenjing Zhao,Jing Liu, Hussein A. Abbass, and Axel Bender, ��A multi-objective risk-based approach for airlift task scheduling using stochastic bin packing,�� In:the Proceedings of IEEE 2010 Congress on Evolutionary Computation (CEC), Barcelona, Spain, July, 2010.

  14. Jing Liu, Weicai Zhong,and Licheng Jiao, ��Macro-agent evolutionary model for decomposable function optimization,��In:the Proceedings of IEEE 2009 Congress on Evolutionary Computation (CEC), Norway, may 2009: 62-69.

  15. Jing Liu,Wenrong Jiang,Weicai Zhong,and Licheng Jiao, ��OEA_SAT: an organizational evolutionary algorithm for solving satisfiability problems,��In:the Proceedings of IEEE 2009 Congress on Evolutionary Computation (CEC), Norway, may 2009: 765-770.

  16. Dingyi Chen, Xue Li,Jing Liu, Xia Chen, ��Ranking-constrained keyword sequence extraction from web documents,�� In:the Proceedings of the 20th Australasian Database Conference (ADC 2009), Wellington, New Zealand, Jan., 2009: 161-169.

  17. Weicai Zhong, Bijan Raahemi,andJing Liu, ��Learning onclassimbalanceddata toclassify peer-to-peer applications in IP traffic using re-samplingtechniques,�� In:the Proceedings ofthe 2009 InternationalJoint Conference on Neural Network(IJCNN), Georgia, USA, June, 2009: 3548-3554.

  18. Jing Liu, Wenlong Fu, and Weicai Zhong, ��Hybrid genetic programming for optimal approximation of high order and sparse linear systems,�� In: the Proceedings of the 7th International Conference on Simulated Evolution And Learning, Springer-Verlag, Melbourne, Australia, Dec. 2008.

  19. Jing Liu, Weicai Zhong, and Jinshu Li, ��Multiagent evolutionary algorithm for T-coloring problem,�� In:the Proceedings of the 7th International Conference on Simulated Evolution And Learning, Springer-Verlag, Melbourne, Australia, Dec. 2008.

  20. Bijan Raahemi, Weicai Zhong andJing Liu, ��Peer-to-peer traffic identification by mining IP layer data streams using concept-adapting very fast decision tree��, In:20th IEEE International Conference on Tools with Artificial Intelligence, Dayton, USA, Nov. 2008: 525-532.

  21. Heyong Wang, Kang Hu,Jing Liu, and Licheng Jiao, "Multiagent evolutionary algorithm for floorplanning using moving block sequence," In:the Proceedings of IEEE 2007 Congress on Evolutionary Computation, Singapore, Sept. 2007: 4272-4377.

  22. Jinshu Li, Heyong Wang,Jing Liu, and Licheng Jiao, "Solving SAT problem with a multiagent evolutionary algorithm," In:the Proceedings of IEEE 2007 Congress on Evolutionary Computation, Singapore, Sept. 2007: 1416-1422.

  23. Kang Hu, Jinshu Li,Jing Liu, and Licheng Jiao, "Permutation flow-shop scheduling based on multiagent evolutionary algorithm," In:the Proceedings of the 19th Australian Joint Conference on Artificial Intelligence, Australian, Springer-Verlag, LNAI 4304, Dec. 2006: 917-921.

  24. Jing Liu, Weicai Zhong, "Constrained Optimization using Organizational Evolutionary Algorithm," In:the Proceedings of the6th International Conference on Simulated Evolution And Learning, Hefei, China, Springer-Verlag, LNCS 4247, Oct. 2006: 302-309.

  25. Jing Liu, Weicai Zhong, and Licheng Jiao, "Moving Block Sequence and Organizational Evolutionary Algorithm for General Floorplanning," In:the Proceedings of the International Conference on Computational Intelligence and Security. Springer-Verlag Berlin Publisher, Xi'an, China, Dec., 2005, LNAI 3801: 238-246.

  26. Weicai Zhong,Jing Liu, and Licheng Jiao, "An agent model for binary constraint satisfaction problems," In:the Proceedings of the 5th European Conference on Evolutionary Computation in Combinatorial Optimization.Springer-Verlag Berlin Publisher, Lausanne, Switzerland, Apr., 2005, LNCS 3448: 260-269.

  27. Weicai Zhong,Jing Liu, and Licheng Jiao, "Evolutionary agents for n-queen problems," In:the Proceedings ofthe First International Conference on Natural Computation. Springer-Verlag Berlin Publisher, Changsha, China, Aug., 2005, LNCS 3612: 366-373.

  28. Weicai Zhong,Jing Liu, and Licheng Jiao, "Job-shop scheduling based on multiagent evolutionary algorithm," In:the Proceedings ofthe First International Conference on Natural Computation. Springer-Verlag Berlin Publisher, Changsha, China, Aug., 2005, LNCS 3612: 925-933.

  29. Jing Liu, Weicai Zhong, and Licheng Jiao, Fang Liu, "A new data mining method using organizational coevolutionary mechanism," In:the Proceedings of the Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer-Verlag, May, 2004: 196-200.

  30. Jing Liu, Weicai Zhong, and Licheng Jiao, Fang Liu, "Multiobjective optimization based on coevolutionary algorithm," In:the Proceedings of the Fourth International Conference on Rough Sets and Current Trends in Computing, Springer-Verlag, June, 2004: 774-779.

  31. Jing Liu, Weicai Zhong, Fang Liu, and Licheng Jiao, "Numerical optimal using organizational evolutionary algorithm," In:the Proceedings of theFifth International Conference on Computational Intelligence and Multimedia Applications, IEEE Computer Society Publisher, Xi'an, China, Sept. 2003: 284-289.

  32. Weicai Zhong,Jing Liu, Mingzhi Xue, and Licheng Jiao, "Global numerical optimization using multi-agent genetic algorithm," In:the Proceedings of theFifth International Conference on Computational Intelligence and Multimedia Applications, IEEE Computer Society Publisher , Xi'an, China, Sept. 2003: 165-170.

  33. Jing Liu, Weicai Zhong, Fang Liu, and Licheng Jiao, "Image retrieval algorithm using fractal dimensions," In:the Proceedings of theSecond International Conference on Image and Graphics, SPIE, V.4875, Hefei, China, Aug. 2002: 1060-1066.

  34. Jing Liu, Weicai Zhong, Fang Liu, and Licheng Jiao, "OCEC: A novel classification algorithm based on evolutionary computation," In:theProceedings of the 6th International Conference on Signal Processing, IEEE Press, Beijing, China, Aug. 2002: 1051-1054.

  35. Weicai Zhong,Jing Liu, Licheng Jiao, and Fang Liu, "Hybrid image retrieval algorithm using shape," In:the Proceedings of theSecond International Conference on Image and Graphics, SPIE, V.4875, Hefei, China, Aug. 2002: 1052-1059.

  36. Weicai Zhong,Jing Liu, and Licheng Jiao, "Radar target recognition using organizational coevolutionary classification algorithm," In:the Proceedings of theSecond International Conference on Image and Graphics, SPIE, V.4875, Hefei, China, Aug. 2002: 250-255.
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