Publications:

Citation stats: h-index: 19, according to GoogleScholar; and h-index: 14, according to Scopus.

Edited books and special issues:
  1. Zhang, M., Kirley, M., Li, X. (2011), Special Issue on "Evolutionary Optimization and Learning", Journal of Soft Computing, Vol.15, No.9, 2011.
  2. Kirley, M., Zhang, M. and Li, X. (2009), Special Issue on "Simulated Evolution and Learning", Journal of Evolutionary Intelligence, Vol.2, 2009.
  3. Nicholson, A. and Li, X. (2009), The Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI 2009), Lecture Notes in Computer Science (LNCS 5866), Melbourne, Australia, December 1 - 4, 2009.
  4. Engelbrecht, A., Li, X., Gambardella, L. and Middendorf, M. (2009), "Special Issue:  Swarm Intelligence", IEEE Transactions on Evolutionary Computation, Vol. 13, No.4. August, 2009.
  5. Li, X.; Kirley, M.; Zhang, M.; Green, D.; Ciesielski, V.; Abbass, H.; Michalewicz, Z.; Hendtlass, T.; Deb, K.; Tan, K.C.; Branke, J.; Shi, Y. (Eds.) (2008). The Proceedings of the 7th International Conference on Simulated Evolution And Learning (SEAL 2008), Lecture Notes in Computer Science (LNCS 5361), Melbourne, Australia, December 7 - 10, 2008. 658 pages. ISBN: 978-3-540-89693-7.
  6. Li, X., Luo, W. and Yao, X. (eds.) (2008). Special Issue on "Evolutionary Optimization", Journal of Computer Science Technology,  Vol.23, No.1, January 2008.
  7. Li, X., Luo, W. and Yao, X. (eds.) (2008). Special Issue on "Simulated Evolution and Learning", International Journal of Computational Intelligence and Applications (IJCIA), World Scientific Press, Vol.7, No.2, June 2008.
  8. Li, X., Luo, W. and Yao, X. (eds.) (2008). Special Issue on "Theoretical Foundations of Evolutionary Computation", Journal of Genetic Programming and Evolvable Machines, Springer, Vol.9, No.2, June 2008.
  9. Li, X., Luo, W. and Yao, X. (eds.) (2007). Special Issue on "Evolutionary Learning and Optimization", Connection Science,  Volume 19, Issue 4, December 2007, Taylor & Francis, London, UK.
  10. Wang, T.-D., Li, X., Chen, S.-H., Wang, X., Abbass, H., Iba, H, Chen, G. and Yao, X. (eds.) (2006). The Proceedings of the 6th International Conference on Simulated Evolution And Learning (SEAL 2006), Lecture Notes in Computer Science (LNCS 4247), Hefei, China, October 15-18, 2006. 940 pages. ISBN: 3-540-47331-9.

Book chapters:

  1. X. Li (2011), "Developing Niching Algorithms in Particle Swarm Optimization", Handbook of Swarm Intelligence – Concepts, Principles and Applications, Series on Adaptation, Learning, and Optimization, Vol. 8, B.K. Panigrahi, Y.Shi, and M.-H. Lim (eds.), Springer, 2011, pp.67-88.
  2. S. Bird and X. Li, (2010), “Improving Local Convergence in Particle Swarms by Fitness Approximation Using Regression”, in Computational Intelligence in Expensive Optimization Problems (Evolutionary Learning and Optimization, book series),  Vol. 2, Y. Tenne and C.-K. Goh (eds.), Springer, 2010, pp.265 - 293.
  3. Blum, C. and Li, X. (2008). "Swarm Intelligence in Optimization", in Blum, C. and Merkle, D. (editors), Swarm Intelligence - Introduction and Applications, Springer, 2008, pp.43 - 85.
  4. Blackwell, T., Branke, J. and Li, X. (2008). "Particle Swarms for Dynamic Optimization Problems", in Blum, C. and Merkle, D. (editors), Swarm Intelligence - Introduction and Applications, Springer, 2008, pp.193 - 217.
  5. Li, X. and Sutherland, S. (2004). "A Real-Coded Cellular Genetic Algorithm Inspired by Predator-Prey Interactions". In Kay Chen Tan, Meng Hiot Lim, Xin Yao, and Lipo Wang, editors, Recent Advances in Simulated Evolution and Learning, Advances in Natural Computation. World Scientific 2004, pp.191 - 207.
  6. Li, X. and Magill, W. (2000), "Modelling Fire Behaviours under Environmental Influences Using a Cellular Automaton Approach", Applied Complexity - from Neural Nets to Managed Landscape, edited by Halloy, S. and Williams, T., p.164-178.

Journals:

  1. Carrese, R., Winarto, H., Li, X., Sobester, A. and Ebenezer, S. (2011), "A Comprehensive Preference-based Optimization Framework with Application to High-lift Aerodynamic Design". Engineering Optimization, Taylor & Francis, (accepted on 08/10/2011).
  2. Donate, J.P., Li, X. Gutierrez, G. and Sanchis, A. (2011), "Time series forecasting by evolving artificial neural networks using genetic algorithms, differential evolution and estimation of distribution algorithm", Journal of Neural Computing & Applications (published online: 09/09/2011).
  3. Carrese, R., Sobester, A., Winarto, H., and Li, X. (2011), "Swarm heuristic for identifying preferred solutions in surrogate-based multiobjective engineering design", American Institute of Aeronautics and Astronautics Journal, 49(7): 1437- 1449, July 2011.
  4. Li, X. and Yao, X. (2011), "Cooperatively Coevolving Particle Swarms for Large Scale Optimization,'' IEEE Transactions on Evolutionary Computation (accepted on 12/01/2011).
  5. Bonyadi, M. R. and Li, X. (2010), "A New Discrete Electromagnetism-based Meta-heuristic for Solving the Multidimensional Knapsack Problem Using Genetic Operators", Operational Research: An International Journal (published online).
  6. Iorio, A. and Li, X. (2011), "Improving the performance and scalability of Differential Evolution on problems exhibiting parameter interactions", special issue on "Evolutionary Optimisation and Learning", Journal of Soft Computing, 15(9): 1769-1792.
  7. Rönkkönen, J., Li, X., Kyrki, V. and Lampinen, J. (2011), "A framework for generating tunable test functions for multimodal optimization", special issue on "Evolutionary Optimisation and Learning", Journal of Soft Computing, 15(9): 1689-1706.
  8. Zhang, M., Kirley, M., Li, X. (2011), Guest editorial: "Evolutionary Optimization and Learning", Journal of Soft Computing, 15(9): 1671 -1673.
  9. Li, X. (2010), "Niching without Niching Parameters: Particle Swarm Optimization Using a Ring Topology", IEEE Transactions on Evolutionary Computation,  14 (1): 150-169,  February 2010 (PDF is available here, and source code). 
  10. Kirley, M., Zhang, M. and Li, X. (2009), Guest editorial: "Special Issue on Simulated Evolution and Learning", Journal of Evolutionary Intelligence, 2:149 - 150.
  11. Engelbrecht, A., Li, X., Gambardella, L. and Middendorf, M. (2009), Guest editorial: "Special Issue: Swarm Intelligence", IEEE Transactions on Evolutionary Computation, 13(13): 676-677, August 2009.
  12. Khan, A. A., Bashir, S., Naeem, M.,  Shah, S.I. and Li, X. (2008), "Symbol Detection in Spatial Multiplexing System Using Particle Swarm Optimization Meta-heuristics", International Journal of Communication Systems, 21(12): 1239-1257, Wiley, December 2008.
  13. Li, X., Luo, W. and Yao, X. (eds.) (2008), Guest editorial: "Special Issue on Evolutionary Optimization", Journal of Computer Science Technology, 23(1):1, January 2008.
  14. Li, X., Luo, W. and Yao, X. (eds.) (2008), Guest editorial: "Special Issue on Simulated Evolution and Learning", International Journal of Computational Intelligence and Applications (IJCIA), World Scientific Press, 7(2): 1, June 2008.
  15. Li, X., Luo, W. and Yao, X. (eds.) (2008), Guest editorial: "Special Issue on Theoretical Foundations of Evolutionary Computation", Journal of Genetic Programming and Evolvable Machines, Springer,  9(2): 107 - 108, June 2008.
  16. Li, X., Luo, W. and Yao, X. (eds.) (2007), Guest editorial:  "Special Issue on Evolutionary Learning and Optimization", Connection Science,  19(4): 279-280, December 2007, Taylor & Francis, London, UK.
  17. Iorio, A. and Li, X. (2008), "Rotated Problems and Rotationally Invariant Crossover in Evolutionary Multi-Objective Optimization". International Journal of Computational Intelligence and Applications (IJCIA),  Special issue on "Simulated Evolution and Learning", World Scientific Press, 7(2): 149 - 186, June 2008 (draft copy).
  18. Li, L., Zhou, J., Yu, X., and Li, X. (2007),  "Constrained Power Plants Unit Loading Optimization using Particle Swarm Optimization Algorithm", WSEAS Transactions on Information Science and Applications,  4(2): 296-302, February 2007.
  19. Parrott, D. and Li, X. (2006), "Locating and Tracking Multiple Dynamic Optima by a Particle Swarm Model Using Speciation", IEEE Transactions on Evolutionary Computation, 10(4):440-458, August 2006. 
  20. Gamble, T. and Li, X. (2003), "Emergence of Cooperation in the IPD Game using Spatial Interactions", International Journal of Knowledge-Based Engineering, 7(3): 124-131, Special issue on Evolutionary Computing.
  21. Li, X. and Magill, W., (2003), "Critical Density in a Fire Spread Model under Environmental Influence", International Journal of Computational Intelligence and Applications (IJCIA), 3(2): 145-155, Special issue on "Artificial Life", World Scientific Press (view PDF).
  22. Li, X. (2002), "Connectionist learning: A comparison of neural networks and an optical thin-film multilayer model", Connection Science, 14(1): 49 - 63, March 2002, Taylor & Francis, London, UK.
  23. Li, X. and Magill, W. (2000), "Modelling Fire Behaviours under Environmental Influences Using a Cellular Automaton Approach", Complexity International, vol. 8.
  24. Li, X. and Purvis, M.K.(1999), "Pattern Recognition by an Optical Thin-Film Multilayer Learning Model", Annals of Mathematics and Artificial Intelligence,  26: 1-4, p.193-213, Baltzer Science Publishers, Netherlands. (view PDF).

Refereed conferences:

  1. Raffe, W.,  Zambetta, F. and Li, X. (2011), "Evolving Patch-based Terrains for Use in Video Games", in Proceeding of  Genetic and Evolutionary Computation Conference  (GECCO'11), ACM Press, p.363 - 370.
  2. Omidvar, M.,  Li, X. and Yao, X. (2011), "Smart Use of Computational Resource Based on Contribution for Cooperative Co-evolutionary Algorithms", in Proceeding of  Genetic and Evolutionary Computation Conference  (GECCO'11), ACM Press, p.1115 - 1122.
  3. Carrese, R., Winarto, H., and Li, X. (2011), "An efficient strategy to incorporate designer-preferences in automated airfoil design", in Proceeding of the Fourteenth Australian International Aerospace Congress (AIAC14), Melbourne, Australia, 2011 (accepted on 10/12/2010).
  4. Carrese, R., Winarto, H., and Li, X. (2011), "Integrating user-preference swarm algorithm and surrogate modeling for airfoil design", in Proceeding of the 49th AIAA Aerospace Sciences Meeting, Orlando, Florida, AIAA-2011-1246.
  5. Zhai, Z. Li, X. (2011), "A Dynamic Archive Based Niching Particle Swarm Optimizer Using a Small Population Size", in Proceedings of the Australian Computer Science Conference (ACSC 2011), Vol. 113, M. Reynolds, Ed.
  6. Lin, D., Li. X., and Wang, D. (2011), "Atavistic Strategy for Genetic Algorithm", in Proceeding of Advances in Swarm Intelligence - Second International Conference (ICSI 2011), Part I, LNCS6728, Springer, p.497-505.
  7. Omidvar, M.,  Li, X.. (2010), "A Comparative Study of CMA-ES on Large Scale Global Optimisation", in Proceedings of the 23rd Australasian Joint Conference on Artificial Intelligence (AI'10) , LNAI 6464, Springer, p. 303 - 312.
  8. Donate, J.P., Li, X. Gutierrez, G. and Sanchis, A. (2010), "Time series forecasting by evolving artificial neural networks using genetic algorithms and differential evolution", in Proceedings of 2010 International Joint Conference on Neural Networks (IJCNN 2010), IEEE, p3999 - 4006.
  9. Omidvar, M.,  Li, X., Yao, X. and Yang, Z. (2010), "Cooperative Co-evolution for Large Scale Optimization Through More Frequent Random Grouping", in Proceedings of Congress of Evolutionary Computation (CEC 2010), IEEE, p.1754 - 1761.
  10. Omidvar, M.,  Li, X. and Yao, X. (2010), "Cooperative Co-evolution with Delta Grouping for Large Scale Non-separable Function Optimization", in Proceedings of Congress of Evolutionary Computation (CEC 2010), IEEE, p.1762 - 1769.
  11. Li, J., Li, X. and Wood, A. (2010), "Species-based Evolutionary Algorithms for Multimodal Functions: A brief review", in Proceedings of Congress of Evolutionary Computation (CEC 2010), IEEE, p.4156 - 4163.
  12. Li, X. and Deb, K. (2010), "Comparing lbest PSO Niching algorithms Using Different Position Update Rules", in Proceedings of Congress of Evolutionary Computation (CEC 2010), IEEE, p.1564 - 1571.
  13. Wickramasinghe, W., Carrese, R. and Li, X. (2010), "Designing Airfoils using a Reference Point based Evolutionary Many-objective Particle Swarm Optimization Algorithm", in Proceedings of Congress of Evolutionary Computation (CEC 2010), IEEE, p.1857 - 1864.
  14. Wickramasinghe, W. and Li, X. (2009), "A Distance Metric for Evolutionary Many-Objective Optimization Algorithms using User-Preferences", in Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09) , Lecture Notes in Computer Science (LNCS 5866), Springer, p443 - 453.
  15. Jaehne, M., Branke, J. and Li, X. (2009), “Evolutionary Algorithms and Multi-Objectivization for the Travelling Salesman Problem”, in Proceeding of  Genetic and Evolutionary Computation Conference  (GECCO'09), ACM Press, p.595 - 602.
  16. Wickramasinghe, W. and Li, X. (2009), “Using a Distance Metric to Guide PSO Algorithms for Many-Objective Optimization”, in Proceeding of  Genetic and Evolutionary Computation Conference (GECCO'09), ACM Press, p667- 674.
  17. Li, X. and Yao, X. (2009), "Tackling High Dimensional Nonseparable Optimization Problems By Cooperatively Coevolving Particle Swarms", in Proceedings of Congress of 2009 Evolutionary Computation (CEC'09), p.1546 - 1553.
  18. Li, L., Li, X., Yu, X. and Guo, W. (2009), "A Modified PSO Algorithm for Constrained Multi-Objective Optimization", in NSS: 2009 3rd International conference on Network and System Security, p.462-467, IEEE.
  19. Allmendinger, R., Li, X. and Branke, J. (2008), "Reference Point-Based Particle Swarm Optimization Using a Steady-State Approach", in Proceedings of the seventh International Conference on Simulated Evolution and Learning (SEAL'08), Lecture Notes in Computer Science (LNCS 5361), Springer, p.200 - 209.
  20. Ronkkonen, J., Li, X., Kyrki, V. and Lampinen, J. (2008), "A Generator for Multimodal Test Functions with Multiple Global Optima", in Proceedings of the seventh International Conference on Simulated Evolution and Learning (SEAL'08), Lecture Notes in Computer Science (LNCS 5361), Springer, p.239 - 248.
  21. Wickramasinghe, W. and Li, X. (2008), "Choosing Leaders for Multi-objective PSO Algorithms using Differential Evolution", in Proceedings of the seventh International Conference on Simulated Evolution and Learning (SEAL'08), Lecture Notes in Computer Science (LNCS 5361), Springer, p.249 - 258.
  22. Iorio, A. and Li, X. (2008), "Improving the Performance and Scalability of Differential Evolution", in Proceedings of the seventh International Conference on Simulated Evolution and Learning (SEAL'08), Lecture Notes in Computer Science (LNCS 5361), Springer, p.131 - 140.
  23. Wickramasinghe, W. and Li, X. (2008), “Integrating User Preferences with Particle Swarms for Multi-objective Optimization”, in Proceeding of Congress of 2008 Evolutionary Computation (GECCO'08), ACM Press, p.745 - 752.
  24. Li, L., Li, X., and Yu, X. (2008), "Power Generation Loading Optimization using a Multi-Objective Constraint-Handling Method via PSO Algorithm", in Proceedings of the IEEE International Conference on Industrial Informatics (INDIN 2008), DCC, Daejeon, Korea, July 13 - 16, 2008, pp.1362 - 1367.
  25. Li, L., Li, X., and Yu, X. (2008), "A Multi-objective Constraint-handling Method with PSO Algorithm for Constrained Engineering Optimization Problems", in Proceeding of Congress of 2008 Evolutionary Computation (CEC'08), IEEE Service Center, Piscataway, NJ 08855-1331, p.1528-1535.
  26. Li, X., Branke, J. and Kirley, M. (2007), "On Performance Metrics and Particle Swarm Methods for Dynamic Multiobjective Optimization Problems", in Proceeding of Congress of 2007 Evolutionary Computation (CEC'07), IEEE Service Center, Piscataway, NJ 08855-1331, p.1635 - 1643.
  27. Bird, S. and Li, X. (2007), "Using Regression to Improve Local Convergence", in Proceedings of Congress of 2007 Evolutionary Computation (CEC'07), p.1555 - 1562, IEEE Service Center, Piscataway, NJ 08855-1331 (source code).
  28. Li, X., Branke, J. and Kirley, M. (2007), "Performance Metrics and Particle Swarm Methods for Dynamic Multiobjective Optimization Problems", in Proceeding of Genetic and Evolutionary Computation Conference 2007 (GECCO'07), eds. Thierens, D., p.906, ACM Press.
  29. Li, X. (2007), "A Multimodal Particle Swarm Optimizer Based on Fitness Euclidean-distance Ratio", in Proceeding of Genetic and Evolutionary Computation Conference 2007 (GECCO'07), eds. Thierens, D., p.78 - 85, ACM Press.
  30. Bird, S. and Li, X. (2007), "Informative Performance Metrics for Dynamic Optimization Problems", in Proceeding of Genetic and Evolutionary Computation Conference 2007 (GECCO'07), eds. Thierens, D., p.18 - 25, ACM Press.
  31. Iorio, A and Li, X. (2006), "Rotationally Invariant Crossover Operators in Evolutionary Multiobjective Optimization", in Proceeding of  the Sixth International Conference on Simulated Evolution And Learning (SEAL'06), LNCS 4247, eds. Wang, T.-D., Li, X., et al., p.181-188 (© Springer-Verlag) (view PDF).
  32. Li, X., Branke, J. and Blackwell, T. (2006), "Particle Swarm with Speciation and Adaptation in a Dynamic Environment ", in Proceeding of Genetic and Evolutionary Computation Conference 2006 (GECCO'06),  eds. M. Keijzer, et al., p.51 - 58, ACM Press. (nominated for a best paper award).
  33. Iorio, A and Li, X. (2006), "Rotated Test Problems for Assessing the Performance of Multiobjective Optimization Algorithms", in Proceeding of Genetic and Evolutionary Computation Conference 2006 (GECCO'06), eds. M. Keijzer, et al., p.683 - 690, ACM Press (view PDF).
  34. Iorio, A and Li, X.(2006), "Incorporating Directional Information within a Differential Evolution Algorithm for Multiobjective Optimization", in Proceeding of Genetic and Evolutionary Computation Conference 2006 (GECCO'06), eds. M. Keijzer, et al., p.691 - 697, ACM Press (view PDF).
  35. Bird, S. and Li, X.(2006), "Adaptively Choosing Niching Parameters in a PSO", in Proceeding of Genetic and Evolutionary Computation Conference 2006 (GECCO'06), eds. M. Keijzer, et al., p.3 - 9, ACM Press.
  36. Bird, S. and Li, X.(2006), "Enhancing the robustness of a speciation-based PSO", in Proceeding of Congress of 2006 Evolutionary Computation (CEC'06), p.3185-3192, IEEE Service Center, Piscataway, NJ 08855-1331 (source code).
  37. Parrott, D., Li, X. and Ciesielski, V. (2005), "Multi-objective Techniques in Genetic Programming for Evolving Classifier Systems", in Proceeding of the 2005 Congress on Evolutionary Computation (CEC'05), p.183 - 190, IEEE Service Center, Piscataway, NJ 08855-1331 (view PDF).
  38. Li, X. (2005), "Efficient Differential Evolution using Speciation for Multimodal Function Optimization", in Proceeding of Genetic and Evolutionary Computation Conference 2005 (GECCO'05), eds. Beyer, Hans-Georg et al., Washington DC, USA, 25-29 June, p.873-880.
  39. Iorio, A. and Li, X. (2004), "Solving Rotated Multi-objective Optimization Problems Using Differential Evolution ",  in Proceeding of the 17th Joint Australian Conference on Artificial Intelligence, Lecture Notes in Computer Science (LNCS 3339), eds. G.I. Webb and Xinghuo Yu, p.861-872 (view PDF) © Springer-Verlag).
  40. Iorio, A. and Li, X. (2004), "Solving Rotated Multi-objective Optimization Problems Using Differential Evolution ",  in Proceeding of GECCO'04 Workshop on Self-organization in Representation for Evolutionary Algorithms - Building Complexity from Simplicity, Genetic and Evolutionary Computation Conference 2004 (GECCO'04)
  41. Iorio, A. and Li, X. (2004), "A Cooperative Coevolutionary Multiobjective Algorithm Using Non-dominated Sorting",  in Proceeding of Genetic and Evolutionary Computation Conference 2004 (GECCO'04), Lecture Notes in Computer Science (LNCS 3102), eds. Deb, K. et al., Seattle, USA, 26-30 June, p.537-548 (view PDF) © Springer-Verlag).
  42. Li, X. (2004), "Adaptively Choosing Neighbourhood Bests using Species in a Particle Swarm Optimizer for Multimodal Function Optimization", in Proceeding of Genetic and Evolutionary Computation Conference 2004 (GECCO'04), Lecture Notes in Computer Science (LNCS 3102), eds. Deb, K. et al., Seattle, USA, 26-30 June, p.105-116 (view PDF) © Springer-Verlag).
  43. Li, X. (2004), "Better Spread and Convergence: Particle Swarm Multiobjective Optimization using the Maximin Fitness Function", in Proceeding of Genetic and Evolutionary Computation Conference 2004 (GECCO'04), Lecture Notes in Computer Science (LNCS 3102), eds. Deb, K. et al., Seattle, USA, 26-30 June, p.117-128 (view PDF) © Springer-Verlag).
  44. Bernstein, Y. Li, X., Ciesielski, V. and Song, A. (2004), "Improving Generalization Performance through Multiobjective Parsimony Enforcement", in Proceeding of Genetic and Evolutionary Computation Conference 2004 (GECCO'04), Lecture Notes in Computer Science (LNCS 3103), eds. Deb, K. et al., Seattle, USA, 26-30 June, p.702-703  © Springer-Verlag).
  45. Bernstein, Y. Li, X., Ciesielski, V. and Song, A. (2004), "Multiobjective Parsimony Enforcement for Superior Generalization Performance", in Proceeding of the 2004 Congress on Evolutionary Computation (CEC'04), p.83 - 89, IEEE Service Center, Piscataway, NJ 08855-1331 (view PDF).
  46. Parrott, D. and Li, X. (2004), "A Particle Swarm Model for Tracking Multiple Peaks in a Dynamic Environment using Speciation", in Proceeding of the 2004 Congress on Evolutionary Computation (CEC'04), p.98 - 103, IEEE Service Center, Piscataway, NJ 08855-1331 (view PDF).
  47. Bernstein, Y. and Li, X. (2003), "Critical Dynamics in Evolutionary Algorithms", in Proceeding of the 2003 Congress on Evolutionary Computation (CEC'03), p.427-434, IEEE Service Center, Piscataway, NJ 08855-1331 (view PDF).
  48. Li, X. and Dam, K.H. (2003), "Comparing Particle Swarms for Tracking Extrema in Dynamic Environments", in Proceeding of the 2003 Congress on Evolutionary Computation (CEC'03), p.1772-1779, IEEE Service Center, Piscataway, NJ 08855-1331 (view PDF).
  49. Li, X. (2003), "A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization", in Proceeding of Genetic and Evolutionary Computation Conference 2003 (GECCO'03), Lecture Notes in Computer Science (LNCS 2723), eds. Erick Cantu-Paz et al., Chicago, USA, 12-16, July, 2003, p.37-48  (view PDF) (© Springer-Verlag) (nominated for a best paper award).
  50. Li, X. (2003), "A real-coded predator-prey genetic algorithm for multiobjective optimization", in Proceeding of The Second International Conference on Evolutionary Multi-Criterion Optimization, Lecture Notes in Computer Science (LNCS 2632), eds. C.M. Fonseca, P.J. Fleming, E. Zitzler, K. Deb, L. Thiele. p.207 -221(view PDF) (© Springer-Verlag)
  51. Gamble, T. and Li, X. (2002), "Emergence of Cooperation in the IPD Game using Spatial Interactions", in Proceeding of the Sixth Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems, Canberra, Australia, p.109-116.
  52. Li, X. and Sutherland, S. (2002), "A Cellular Genetic Algorithm Simulating Predator-Prey Interactions", in Proceeding of the 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL'02), edited by Wang, L.,Tan, K.C.,Furuhashi,T., Kim, J-H and Yao, X. Singapore, p.76-80 (view PDF).
  53. Iorio, A. and Li, X. (2002), "Parameter Control within a Co-operative Co-evolutionary Genetic Algorithm", in Proceeding of The Seventh International Conference on Parallel Problem Solving from Nature - PPSN VII, Lecture Notes in Computer Science (LNCS 2439), eds. Merelo Guervos, J.J., Adamidis, P., Beyer, H.G., Fernandez-Villacanas, J.L., and Schwefel, H.P., p.247-256 (view PDF) (© Springer-Verlag).
  54. Li, X. and Kirley, M. (2002), "The Effects of Varying Population Density in a Fine-grained Parallel Genetic Algorithm",  in Proceedings of the 2002 Congress on Evolutionary Computation (CEC'02), Volume: 2 , 2002, p.1709 -1714.
  55. Li, X. and Magill, W. (2001), “Critical Density in a Fire Spread Model with Varied Environmental Conditions”, in Proceeding of The Inaugural Workshop on Artificial Life, The 14th Australian Joint Conference on Artificial Intelligence, 10 – 14 December 2001, p.27-39.
  56. Li, X. (2001), "Visualization of a Parallel Genetic Algorithm in Real Time", The Sixth International Computer Science Conference - Active Media Technology", LNCS 2252, 18-20 December 2001, Hong Kong, p.335-346.
  57. Li, X. (2001), "Comparison of Neural Networks and an Optical Thin-Film Multilayer Model for Connectionist Learning", in Proceeding of INNS-IEEE International Joint Conference on Neural Networks, 14-19 July 2001, Washington, DC, p.1727-1732.
  58. Li,X. (2001), "Comparison of Neural Networks and an Optical Thin-Film Multilayer Model for Connectionist Learning", in Proceeding of. SCAI 2001, p.111-122.
  59. Li, X. (2001), "Investigation on Critical Density in a Fire Spread Model using a Multi-agent Approach ", SwarmFest 2001, April 28 - 30, Santa Fe Institute, New Mexico.
  60. Li, X. (2001), "A Parallel Genetic Algorithm Implemented in Swarm", SwarmFest 2001, April 28 - 30, Santa Fe Institute, New Mexico.
  61. Magill, W. and Li, X. (2000), "Multi-agent Approach for Simulating Bush Fire Spread", The Sixth Pacific Rim International Conference on Artificial Intelligence (PRICAI 2000), Lecture Notes in Aritificial Intelligence 1886, edited by Mizoguchi, R. and Slaney, J., Springer, p.814.
  62. Li, X and.Wilson, B. (1999), “Modelling Watertable Fluctuations in Acid Sulphate Soils, Tweed Heads Using Artificial Neural Networks”, in Proceeding of AI'99: Application Symoposium, 12th Australian Joint Conference on Artificial Intelligence, p.29-37.
  63. Li, X. and Purvis, M.K.(1998), "An Optical Thin-Film Multilayer Model For Connectionist Learning", in Proceedings of ICCIMA'98, the International Conference on Computational Intelligence and Multimedia Applications 1998, edited by Selvaraj, H. and Verma, B.World Scientific Publishing Co. Pte. Ltd., Singapore, p.258-263.
  64. Kirley, M., Li, X. and Green, D.G. (1998), “An investigation of a Cellular Genetic Algorithm that mimics evolution in a landscape”, Lecture Notes in Artificial Intelligence (LNAI 1585), edited by B. McKay, et al., Springer-Verlag, pp.90-97.
  65. Yamamoto, T., Kirley, M. & Li, X. (1998), "Species Abundance Adapted to the Energy Flow in Ecosystem Simulations." In R. Pfeifer et al. (eds) The Proceedings of The Fifth International Conference of The Society for Adapted Behaviour, MIT Press, pp.291-296.
  66. Yamamoto, T. & Li, X.(1998), "Non-linearly connected cross-scale interaction in a cellular network", in Proceedings of 1997 International Symposium on Nonlinear Theory and its Applications, vol. 2, Hawaii, p.925-928.
  67. Li, X. (1997), "Using Genetic Algorithms for an Optical thin-Film Learning Model", in Proceedings of Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems, Canberra, Australia, p.126-130.
  68. Purvis, M.K. and Li, X.(1997), "Connectionist Learning Using an Optical Thin-Film Model", in Proceedings of the 15th World Congress on Scientific Computation, Modelling and Applied Mathematics - Artificial Intelligence and Computer Science, vol. 4, edited by Achim Sydow, Wissenschaft & Technik Verlag, Berlin, p. 239-244.
  69. Purvis, M.K. and Li, X. (1995), "Connectionist Learning Using Optical Thin-Film Model", in Proceeding of the 2nd New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, IEEE Computer Society Press, Los Alamitos, California, p.63-66.
  70. Li, X. (1990), "A Review on the Current Development of Mainframe and Mini-Computers", Review of World Electronic Industry (Chinese edition).

Technical reports:

K. Tang, X. Li, P. N. Suganthan, Z. Yang and T. Weise, "Benchmark Functions for the CEC'2010 Special Session and Competition on Large Scale Global Optimization," Technical Report, Nature Inspired Computation and Applications Laboratory, USTC, China, http://nical.ustc.edu.cn/cec10ss.php, 2009.

Tutorials:

Particle Swarm Optimization (1 slide per page, or 4 slides per page), presented at SEAL'06, Hefei, China, 15 - 18 October, 2006.

Particle Swarm Optimization (4 slides per page), by Xiaodong Li and Andries P. Engelbrecht, presented at GECCO'07, London, UK, 7 - 11 July, 2007.

PhD. thesis

Interested to read my Ph.D. thesis - "Connectionist Learning Architecture Based on an Optical Thin-Film Multilayer Model"?  (view PDF)

Most papers can be found at Google Scholar: http://scholar.google.com/

All IEEE published papers can be found from IEEE Xplorer. Or you can contact me by email for a copy.

All GECCO papers can be found and downloaded at: Bibliography of the Proceedings of the GECCO