Chinese Monographs

English Monographs

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

• Licheng Jiao, Jing Liu and 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, Jun., 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, Sept. 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, Sept. 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, in Artificial 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 and Jing 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. 131–143, 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 and Jing Liu, “Classifying peer-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, and Jing 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, and Jing 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 and Jing 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, and Jing 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, and Jing 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, “Ambiguous decision trees for mining concept-drifting data streams,”Pattern Recognition Letters, 2009, 30(15): 1347-1355.

22. Bijan Raahemi, Weicai Zhong, and Jing Liu, “Exploiting unlabeled data to improve Peer-to-Peer trafficclassification using incremental Tri-Training method,” 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 Conference Papers

1. Bingqi Cai and Jing 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 and Jing 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 and Jing 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, and Jing 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 Liu and 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 and Jing 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 and Jing 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, and Jing Liu, “Learning on class imbalanced data to classify peer-to-peer applications in IP traffic using re-sampling techniques,” In: the Proceedings of the 2009 International Joint 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 and Jing 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 the 6th 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 of the 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 of the 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 the Fifth 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 the Fifth 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 the Second 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: the Proceedings 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 the Second 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 the Second International Conference on Image and Graphics, SPIE, V.4875, Hefei, China, Aug. 2002: 250-255.