ALAR

The Artificial Life and Adaptive Robotics Laboratory

    Journals

  1. H.Y. Quek, K.C. Tan, and H.A. Abbass. Modeling civil violence: an evolutionary multi-agent, game theoretic approach, IEEE Transactions on Evolutionary Computation, conditionally accepted.
  2. P. Rojanavasu, H.H. Dam, H.A. Abbass, C. Lokan and O. Pinngern, A Self-Organized, Distributed, and Adaptive Rule-Based Induction System, IEEE Transactions on Neural Networks, accepted June 2008
  3. J. Badham, H.A.Abbass, and R. Stocker. Parameterisation of keeling’s network generation algorithm, Journal of Theoretical Population Biology, Accepted June 2008.
  4. K.C. Tan, H.Y. Quek, C.K.Goh, and H.A. Abbass. Evolution and incremental learning in the iterated prisoners dilemma, IEEE Transactions on Evolutionary Computation, accepted April 2008.
  5. Bui L.T., Barlow M. and Abbass H.A. A Multiobjective Risk-based Framework for Mission Capability Planning, New Mathematics and Natural Computation, World Scientific, Accepted March 2008.
  6. Shafi K., Kovacs T., Abbass H.A., and Zhu W. Intrusion Detection with Evolutionary Learning Classifier Systems, Natural Computing, Springer, Accepted August 2007.
  7. Bui L.T., Abbass H.A. and Essam D., Local Models - an Approach to Distributed Multi-objective Optimization, Computational Optimization and Application Journal, Accepted June 2007.
  8. S. Alam, H.A. Abbass and M. Barlow (2008), ATOMS: Air Traffic Operations and Management Simulator, IEEE Transactions on Intelligent Transportation. vol 9(2), 209-225.
  9. Ghoneim A., Abbass H.A. and M. Barlow (2008), Characterizing Game Dynamics in 2-Player Strategy Games Using Network Motifs, IEEE Transactions on Systems, Man, Cybernetics, Part B, vol 38(3), 682-690.
  10. Dam H., H.A. Abbass, Lokan C. and Yao X. (2008) Neural-Based Learning Classifier Systems, IEEE Transactions on Data and Knowledge Engineering, vol 20(1), 26-39.
  11. Nguyen M.H., Abbass H.A. and McKay R. (2008) Analysis of CCME: Coevolutionary Dynamics, Automatic Problem Decomposition and Regularization, IEEE Transactions on Systems, Man, Cybernetics, Part C, vol 38(1), 100-109.
  12. Bui L.T., Deb K., Abbass H.A. and Essam D. (2008) Interleaving Guidance in Evolutionary Multi-objective Optimization, Journal of Computer Science and Technology, 23(1), 4463
  13. Shafi K. and Abbass H.A. (2007) Biologically-inspired Complex Adaptive Systems approaches to Network Intrusion Detection, Information Security Technical Reports, vol 12(4), 209-217, Elsevier Science.
  14. Nguyen M.H., Abbass H.A. and McKay R. (2006) A Novel Mixture of Experts Model Based on Cooperative Coevolution, Neurocomputing, Elsevier Science, Vol 1-3, 155-163.
  15. Yang A., Abbass H.A., and Sarker H (2006). Characterizing Warfare in Red Teaming, IEEE Transactions on Systems, Man, Cybernetics, Part B, 36(1).
  16. Abbass H.A. (2006) An Economical Cognitive Approach for Bi-Objective Optimization Using Bliss Points and Interaction, Soft Computing, Springer, 10(8), 687-698.
  17. Nguyen M.H., Abbass H.A., McKay R.I. (2005) Stopping criteria for ensemble of evolutionary artificial neural networks, Applied Soft Computing, Elsevier, Vol 6, No 1, 100-107.
  18. Teo J. and Abbass H.A. (2005) Multi-objectivity and Complexity in Embodied Cognition. IEEE Transactions on Evolutionary Computation, 9(4), pp. 337-360.
  19. Liu B, Abbass H.A. and McKay R I (2004). Classification Rule Discovery with Ant Colony Optimisation. IEEE Computational Intelligence Bulletin 3(1), pp. 31-35.
  20. Teo J. and Abbass H.A. (2004). Automatic Generation of Controllers for Embodied Legged Organisms: a Pareto Evolutionary Multi-Objective Approach. Evolutionary Computations, MIT Press, 12(3), pp. 355-394.
  21. Teo J. and Abbass H.A. (2004) Information-Theoretic Landscape Analysis of Neuro-Controlled Embodied Organisms. Neural Computing and Applications, Springer, 31(1), pp. 80-89.
  22. Sarker R. and Abbass H.A. (2004) Differential Evolution for Solving Multi-objective Optimization Problems. Asia-Pacific Journal of Operations Research, World Scientific, 21(2), pp. 225-240.
  23. H.A. Abbass (2003) Speeding up Back-Propagation Using Multiobjective Evolutionary Algorithms, Neural Computation, MIT Press, vol. 15, No 11, 2705-2726.
  24. J. Teo and H.A. Abbass (2003) Search Space Difficulty of Evolutionary Neuro-Controlled Legged Robots. The International Journal of Knowledge Based Intelligent Engineering Systems, Vol.7(3), 149-156.
  25. R. McKay and H.A. Abbass (2003) Artificial Life: An Introduction. The International Journal of Computational Intelligence and Applications, World Scientific, Volume 3, No 2, pp 143-144.
  26. Abbass H.A., Towsey M., Kozan E. and Werf J. Van Der (2003). Genetic Algorithms for a Large Scale Dynamic Allocation Problem. Journal of Applied System Sciences (JASS), Cambridge Press, 4(2).
  27. J. Teo and H.A. Abbass (2003). A True Annealing Approach to the Marriage in Honey-Bees Optimization Algorithm. The International Journal of Computational Intelligence and Applications, World Scientific, Volume 3, No 2, pp 199-208.
  28. H.A. Abbass (2002). An evolutionary artificial neural networks approach for Breast Cancer Diagnosis. Artificial Intelligence in Medicine, Elsevier Science, vol 25/3 pp 265-281.
  29. H.A. Abbass and R. Sarker (2002). The Pareto Differential Evolution Algorithm. International Journal on Artificial Intelligence Tools, World Scientific, vol 11, No 4, pp 531-552, 2002.
  30. H.A. Abbass (2002). An agent based approach to 3-SAT using marriage in honey-bees optimization. International Journal of Knowledge-Based Intelligent Engineering Systems (KES), Vol. 6, No. 2, pp. 1-8.
  31. H.A. Abbass, M. Towsey, and G. Finn (2001). C-Net: A Method for Generating Non-deterministic and Dynamic Multivariate Decision Trees, Knowledge and Information Systems: An International Journal (KAIS), Springer-Verlag, Vol. 5, No. 2.
  32. H.A. Abbass, M. Towsey, G. Finn, and E. Kozan (2001). A Meta-Representation for Integrating OR and AI in an Intelligent Decision Support Paradigm, ITOR: International Transactions of Operational Research, Vol 8, No. 1.
  33. R. McKay and H.A. Abbass (2001) Anti-correlation: A Diversity Promoting Mechanisms in Ensemble Learning. The Australian Journal of Intelligent Information Processing Systems (AJIIPS), vol 7, No 3/4, pp 139-149.
  34. B.B. Wang, R.I. McKay, H.A. Abbass and M.Barlow (2001). Domain Ontology Guided Feature-Selection for Document Categorization. The Australian Journal of Intelligent Information Processing Systems (AJIIPS), vol 7, No 3/4, pp 102-109.
  35. H.A. Abbass, G. Wiggen, R. Lakshmanan and B. Morton (1999). Constraint logic programming as a paradigm for heat exchanger network retrofit, The International Journal of Computers and Chemical Engineering, supplement volume of ESCAPE-9, PP.S127-S130.
  36. M.H. Rasmy and H.A. Abbass (1991). An interactive constraint method for solving linear programming problems. Journal of Egyptian Statistical Society, Vol. 2, Jul.
  37. M.H. Rasmy, H.A. Abbass and M.M. Labib (1991). A proposed criterion to select the entering variable in Simplex method, (between theory and practice)”. Engineering Research Bulletin, Helwan Univ., Vol. 3, March.

    38. Book Chapters

  38. H.H. Dam, C. Lokan and H.A. Abbass (2007) Evolutionary Online Data Mining: An Investigation in a Dynamic Environment. In Evolutionary Computation in Dynamic and Uncertain Environments, Shengxiang Yang, Yew-Soon Ong and Yaochu Jin Edition, Studies in Computational Intelligence Series, Springer, Volume 51/2007, pages 153-178, ISBN 978-3-540-49772-1.
  39. S. Baker, A. Bender, H.A. Abbass, and R. Sarker (2007) A Scenario-based Evolutionary Scheduling Approach for Assessing Future Supply Chain Fleet Capabilities, In Evolutionary Scheduling, K. Dahal, K.C. Tan and P. Cowling (eds.), Studies in Computational Intelligence Series, Springer, Volume 49/2007, pages 485-512, ISBN 978-3-540-48582-7.
  40. Shan Y., McKay R.I., Essam D.L. and Abbass H.A. (2006) A Survey of Probabilistic Model Building Genetic Programming, In Scalable Optimization via Probabilistic Modeling, Series: Studies in Computational Intelligence, Vol. 33 Pelikan M., Sastry K., and Cantú-Paz E. (Eds), Springer-Verlag, 121-160.
  41. Abbass H.A. (2005) Pareto-Optimal Approaches to Neuro-Ensemble Learning, In Multi-Objective Machine Learning, Series: Studies in Computational Intelligence, Jin, Yaochu (Ed), Springer-Verlag, 407-428.
  42. M. Kirley, H. Abbass, and R. McKay (2006) “Diversity Mechanisms in Pitt-Style Evolutionary Classifier Systems”, In Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques, E. Triantaphyllou and G. Felici, Springer-Verlag, New York, NY, U.S.A., in its Massive Computing series, Vol. 6. ISBN 0-3873-4294-X, 433-458.
  43. Teo J. and Abbass H.A. (2004) Evolutionary Multi-objective Robotics: Evolving Physically Simulated Quadruped using the Pareto-frontier Differential Evolution Algorithm, In Recent Advances in Simulated Evolution and Learning, K.C. Tan, M.H. Lim, X. Yao and L. Wang (Eds), World Scientific, ISBN 981-238-952-0, pp.466-485.
  44. Nguyen M.H., Abbass H.A. and McKay R. (2004) Diversity and Neuro-Ensemble, In Evolutionary Computing in Data Mining, A. Ghosh and L. Jain, Physica-Verlag, Germany.
  45. R. Sarker, H. Abbass and C. Newton (2002) “Solving Two Multi-objective Optimization Problems Using Evolutionary Algorithms”, In Intelligent Systems in Control, M. Mohammadian, R. Sarker & X. Yao (Eds), Idea Group Publishing, USA.
  46. H.A. Abbass “From Evolution to Immune to Swarm to ? A simple introduction to heuristics”, In Data Mining: a heuristic approach, editors H.A. Abbass, R. Sarker, and C. Newton Eds, IDEA Group Publishers, ISBN 1-930708-25-4, 2002.
  47. R. Sarker, H.A. Abbass, C. Newton “Introducing data mining and knowledge discovery”, In Heuristics and Optimization for Knowledge Discovery, editors H.A. Abbass, R. Sarker, and C. Newton Eds, IDEA Group Publishers, ISBN 1-930708-26-2, 2002.
  48. H.A. Abbass, M. Towsey, E. Kozan, J. Van Der Werf, and J. Diederich “A Markov Chain Tabu Search Approach to the evolutionary allocation problem”. In Operations Research/ Management Science at Work: Applying Theory in the Area Pacific Region, E. Kozan and A. Ohuchi Eds, Kluwer Academic Publishers.
  49. H.A. Abbass “Introducing Artificial Intelligence to Agriculture”. In The applications of Artificial Intelligence, Optimisation, and Bayesian Methods to Agriculture, H.A. Abbass and M. Towsey Eds, pp 1-8, 1999.
  50. H.A. Abbass, M. Towsey, J. Van Der Werf, and G. Finn “Modelling the Evolution: The Evolutionary Allocation Problem”. In The applications of Artificial Intelligence, Optimisation, and Bayesian Methods to Agriculture, H.A. Abbass and M. Towsey Eds, 1999.
  51. P. Maccrossan, K. Mengersen, H.A. Abbass, M. Towsey, and G. Finn “Statistics and artificial neural networks: a comparison of various predictive methods”, In The applications of Artificial Intelligence, Optimisation, and Bayesian Methods to Agriculture, H.A. Abbass and M. Towsey Eds, 1999.

    52. Lecture Notes

  52. Sameer Alam, Minh Ha Nguyen, Hussein A. Abbass, Michael Barlow: Ants Guide Future Pilots. ACAL 2007, LNCS 4828, 36-48.
  53. Ayman Ghoneim, Michael Barlow, Hussein A. Abbass: Rounds Effect in Evolutionary Games. ACAL 2007, LNCS 4828, 72-83.
  54. L.T. Bui, O. Soliman, H.A. Abbass (2007) A Modified Strategy for the Constriction Factor in Particle Swarm Optimization. ACAL 2007, LNCS 4828, 333-344.
  55. K. Shafi, H.A. Abbass, and W. Zhu (2006) The Role of Early Stopping and Population Size in XCS for Intrusion Detection, 6th International Conference on Simulated Evolution and Learning (SEAL'06), LNCS 4247, Hefei, China, pp. 50-57.
  56. A. Yang, H.A. Abbass, and R. Sarker (2006) Land Combat Scenario Planning: A Multiobjective Approach, 6th International Conference on Simulated Evolution and Learning (SEAL'06), LNCS 4247, Hefei, Chinapp. pp. 837-844.
  57. S. Alam, L.T. Bui, H.A. Abbass, and M. Barlow (2006) Pareto Meta-Heuristics for Generating Safe Flight Trajectories Under Weather Hazards, 6th International Conference on Simulated Evolution and Learning (SEAL'06), LNCS 4247, Hefei, China, pp. 829-836.
  58. L.T. Bui, K. Deb, H.A. Abbass, and D. Essam, (2006) Dual Guidance in Evolutionary Multi-objective Optimization By Localization, 6th International Conference on Simulated Evolution and Learning (SEAL'06), LNCS 4247, Hefei, China, pp. 384-391.
  59. A. Yang, H.A. Abbass and R. Sarker (2005). WISDOM-II: A Network Centric Model for Warfare. Ninth International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES 2005), Lecture Note Computer Science LNCS 3683, Melbourne, Australia, pp. 813-819.
  60. H. Dam, K. Shafi and H.A. Abbass (2005). Can evolutionary computation handle large datasets? A study into network intrusion detection. The 18th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence, LNAI 3809, Springe-Verlag, pp. 1092-1095.
  61. H.A. Abbass (2004) An Inexpensive Cognitive Approach for Bi-Objective Optimization Using Bliss Points and Interaction, The 8th International Conference on Parallel Problem Solving from Nature (PPSN VIII), Birmingham, Lecture Notes in Computer Science LNCS 3242, Springer-Verlag, pp. 712-721.
  62. N.X. Hoai, R.I. McKay, D.L. Essam and H.A. Abbass (2004) Towards an Alternative Comparison between Genetic Programming Systems, The 7th European Conference on Genetic Programming, Lecture Notes in Computer Science, LNCS 3003, Springer-Verlag, pp. 67 -77.
  63. K. Sastry, H.A. Abbass and D. Goldberg Sub-Structural Niching in Non-Stationary Environments, The 17th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence, LNAI 3339, Springe-Verlag, pp. 873–885, 2004.
  64. A. Yang, H.A. Abbass and R. Sarker Landscape Dynamics in Multi-agent Simulation Combat Systems”, The 17th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence, LNAI 3339, Springer-Verlag, 39-50, 2004.
  65. H.A. Abbass Pareto Neuro-Ensemble. The 16th Australian Joint Conference on Artificial Intelligence (AI'03), Perth, Lecture Notes in Artificial Intelligence LNAI 2903, Springer-Verlag, 554-566, 2003.
  66. J. Teo and H.A. Abbass Software Verification of Redundancy in Neuro-Evolutionary Robotics. The 16th Australian Joint Conference on Artificial Intelligence (AI'03), Lecture Notes in Artificial Intelligence LNAI 2903, Springer-Verlag, 302-314, 2003.
  67. H.A. Abbass and K. Deb “Searching under multi-evolutionary pressures”. In Proceedings of the 2003 Evolutionary Multiobjective Optimization Conference (EMO03), Faro, Lecture Notes in Computer Science LNCS2632, Springer-Verlag, 391-404, 2003.
  68. J. Teo, M.H. Nguyen and H.A. Abbass. “Multi-Objectivity as a Tool for Constructing Hierarchical Complexity “, The Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2003), Chicago, Lecture Notes in Computer Science LNCS2724, Springer-Verlag, 483-494, July, 2003.
  69. J. Teo and H.A. Abbass “Is a Self-Adaptive Pareto Approach Beneficial for Controlling Embodied Virtual Robots?”, The Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2003), Chicago, Lecture Notes in Computer Science LNCS2723, Springer-Verlag, 1612-1613, July, 2003.
  70. N.X. Hoai, R.I. McKay, and H.A. Abbass “Bias in Tree Adjoining Grammars”. In Proceedings of the European Conference on Genetic Programming (EUROGP), Essex, Lecture Notes in Computer Science LNCS2610, Springer-Verlag, 335-344, January, 2003.
  71. H.A. Abbass “A Memetic Pareto Evolutionary Approach to Artificial Neural Networks”, The Australian Joint Conference on Artificial Intelligence, Adelaide, Lecture Notes in Artificial Intelligence LNAI 2256, Springer-Verlag, 1-12, December, 2001.
  72. P.E. Macrossan, H.A. Abbass, K. Mengersen, M. Towsey and G. Finn “Bayesian neural network learning for prediction in the Australian dairy industry”, Intelligent Data Analysis, Amsterdam, Lecture Notes in Computer Science LNCS1642, Springer-Verlag, 395-406, August, 1999.

    73. IEEE Proceedings

  73. Bui L.T., Whitacre J. and Abbass H.A. (2008) Performance Analysis of Elitism in Multi-objective Ant Colony Optimization Algorithms, IEEE Congress on Evolutionary Computation (CEC), Hong Kong, accepted 4 Feb 08.
  74. Soliman O.S., Bui L. and Abbass H.A., (2007) The Effect of a Stochastic Step Length on the Performance of the Differential Evolution Algorithm, IEEE Congress on Evolutionary Computation (CEC), Singapore, pp 2850-2857.
  75. Shafi K., Abbass H. and Zhu W. (2007) Real Time Signature Extraction During Adaptive Rule Discovery Using UCS, IEEE Congress on Evolutionary Computation (CEC), Singapore, pp 2509-2516.
  76. Ghoneim A., Abbass H.A. and Barlow M. (2007) The Critical Point When Prisoners Meet the Minority: Local and Global Dynamics in Mixed Evolutionary Games, IEEE Congress on Evolutionary Computation (CEC), Singapore, pp 3711-3718.
  77. Ghoneim A., Abbass H.A. and Barlow M. (2007) Investigating Alliance Dynamics Using a Co-evolutionary Iterated Prisoner's Dilemma with an Exit Option, IEEE Congress on Evolutionary Computation (CEC), Singapore, pp 4065-4072.
  78. Greenwood G. and Abbass H.A. (2007) A New Local Search Algorithm for Continuous Spaces Based on Army Ant Swarm Raids, IEEE Congress on Evolutionary Computation (CEC), Singapore, pp 1097-1102.
  79. Ghoneim A., Abbass H.A. and Barlow M. (2007) Information Sharing in the Iterated Prisoner Dilemma Game, IEEE Symposium on Computational Intelligence in Games (CIG), Honolulu, 1-4 April.
  80. Chen K.Y., Dam H., Lindsay P. and Abbass H.A. (2007) Biasing XCS with Domain Knowledge for Planning Flight Trajectories in a Moving Sector Free Flight Environment, IEEE Symposium on Artificial Life (IEEE-ALife), Honolulu, 1-4 April.
  81. Ziauddin U., Sarker R. and Abbass H.A. (2007) Improving the Performance of GA in CVRP using Self Imposed Constraints, IEEE Symposium on Computational Intelligence in Scheduling (CIS), Honolulu, 1-4 April.
  82. *Barlow M., Yang A. and Abbass H.A. (2007) A Temporal Risk Assessment Framework for Planning A Future Force Structure, IEEE Symposium on Computational Intelligence in Defence and Security Applications (CIDSA), Honolulu, 1-4 April.
  83. C.K.Goh, H.Y.Quek, K.C.Tan, and H.A. Abbass (2006) Modeling Civil Violence: An Evolutionary Multi-Agent, Game Theoretic Approach, The IEEE Congress on Evolutionary Computation (CEC2006), Vancouver, BC, Canada, IEEE-Press, 1624-1631.
  84. L.T. Bui, B. Juergen and H.A. Abbass (2005) Multiobjective optimization for dynamic environments. The IEEE Congress on Evolutionary Computation (CEC), Edinburgh, UK, 2005, Vol. 3, 2349- 2356.
  85. H. Dam, H.A. Abbass, and C. Lokan (2005) The Performance of the DXCS System on Continuous-Valued Inputs in Stationary and Dynamic Environments. The IEEE Congress on Evolutionary Computation (CEC), Edinburgh, UK, 2005, Vol.1, 618- 625.
  86. Y. Shan, R.I. McKay, R. Baxter, H.A. Abbass, D.L. Essam, and H X. Nguyen Grammar Model-based Program Evolution, Proceedings of the Congress on Evolutionary Computation, Portland, Oregon, June, 2004.
  87. H.A. Abbass. Pareto Neuro-Evolution: Constructing Ensemble of Neural Networks Using Multi-objective Optimization. The IEEE Congress on Evolutionary Computation (CEC2003), IEEE-Press, Vol. 3, pages 2074-2080, Australia, 2003.
  88. H.A. Abbass, A.M. Bagirov, and J. Zhang. The Discrete Gradient Evolutionary Strategy Method for Global Optimization. The IEEE Congress on Evolutionary Computation (CEC2003), IEEE-Press, Vol. 1, pages 435-442, Australia, 2003.
  89. J. Teo and H.A. Abbass. Elucidating the Benefits of a Self-Adaptive Pareto EMO Approach for Evolving Legged Locomotion in Artificial Creatures. The IEEE Congress on Evolutionary Computation (CEC2003), IEEE-Press, Vol. 2, pages 755-762, Australia, 2003.
  90. Y. Shan, R.I. McKay, H.A. Abbass, and D. Essam. Program Evolution with Explicit Learning. The IEEE Congress on Evolutionary Computation (CEC2003), IEEE-Press, Vol. 3, pages 1639-1646, Australia, 2003.
  91. B. Liu, R.I. McKay, and H.A. Abbass. Improving Genetic Classifiers with a Boosting Algorithm. The IEEE Congress on Evolutionary Computation (CEC2003), IEEE-Press, Vol. 4, pages 2596-2602, Australia, 2003.
  92. B. Liu, H.A. Abbass, B. McKay. “Classification Rule Discovery with Ant Colony Optimization” The IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), Halifax, Canada, 2003.
  93. H.A. Abbass “Self-adaptive Pareto Differential Evolution”, The IEEE Congress on Evolutionary Computation (CEC2002), 2002.
  94. H.A. Abbass, N.X. Hoai, and R.I. McKay “AntTAG: A new method to compose computer programs using colonies of ants”, The IEEE Congress on Evolutionary Computation (CEC2002), 2002.
  95. H.A. Abbass “Marriage in Honey Bees Optimisation: A Haplometrosis Polygynous Swarming Approach”, The IEEE Congress on Evolutionary Computation (CEC2001), Seoul, Korea, 2001.
  96. H.A. Abbass, R. Sarkar, and C. Newton “A pareto differential evolution approach to vector optimisation problems”, The IEEE Congress on Evolutionary Computation (CEC2001), Seoul, Korea, 2001.

    97. ACM Proceedings

  97. H.A. Abbass, A. Bender, H. Dam, S. Baker, J. Whitacre and R. Sarker (2008), Computational Scenario-based Capability Planning, Genetic and Evolutionary Computation Conference, Atlanta, Georgia, ACM Press.
  98. J. Whitacre, H.A. Abbass, R. Sarker, A. Bender and S. Baker (2008) Strategic Positioning in Tactical Scenario Planning, Genetic and Evolutionary Computation Conference, Atlanta, Georgia, ACM Press.
  99. J. Whitacre, L. Bui and H.A. Abbass, (2008) Evidence of coevolutionary dynamics in multiobjective evolutionary algorithms, Genetic and Evolutionary Computation Conference, Atlanta, Georgia, ACM Press.
  100. Bui L.T., Abbass H.A., and Essam D. (2005) Fitness inheritance for noisy evolutionary multi-objective optimization. Genetic and Evolutionary Computation Conference, Washington D.C., ACM Press.
  101. Bui L.T., Branke J., and Abbass H.A. (2005) Diversity as a selection pressure in dynamic environments. Genetic and Evolutionary Computation Conference, Washington D.C., ACM Press.
  102. Dam H., Abbass H.A., and Lokan C. (2005) DXCS: an XCS system for distributed data mining. Genetic and Evolutionary Computation Conference, Washington D.C., ACM Press.
  103. McPartland M., Nolfi S., and Abbass H.A. (2005) Emergence of Communication in Competitive Multi-Agent Systems: A Pareto multi-objective approach. Genetic and Evolutionary Computation Conference, Washington D.C., ACM Press.
  104. Sastry K., Abbass H.A., Goldberg D., and Johnson D.D. (2005) Sub-structural niching in estimation distribution algorithms. Genetic and Evolutionary Computation Conference, Washington D.C., ACM Press.
  105. B.B. Wang, R I. McKay, H.A. Abbass and M. Barlow. “A Comparative Study for Domain Ontology Guided Feature Extraction”. In Proceedings of the Australian Computer Society Conference, 2003, Australia.

    106. Other Refereed Conferences

  106. J. Whitacre, A. Bender, S. Baker, Q. Fan, R. Sarker and H.A. Abbass (2008). Topology and Time Criticality Effects in Modularised Fleet Problems, SimTecT'08.
  107. Abbass H.A., Baker S., Bender A. and Sarker R. (2007) Anticipating Future Army Supply Chain Fleet Capabilities, SimTecT
  108. El-Sawah S., Abbass H.A. and Sarker R. (2007) Complex Supply Networks: A Multi-Agent Simulation Model for Risk Assessment, SimTecT.
  109. Alam S., Nguyen M.H., Abbass H.A. and Barlow M. (2007) The Architecture Design and Validation of the Air Traffic Operations and Management Simulator (ATOMS), SimTecT.
  110. Petraki E., Bo Z., and Abbass H.A. (2006) Mitigating the threat of counterfeiting to international security through public awareness, The Security Technology Conference, the 5th Homeland Security Summit, Canberra, Australia, 190-207.
  111. Shafi K., Abbass H.A., and Zhu W. (2006) An Adaptive Rule-based Intrusion Detection Architecture, The Security Technology Conference, the 5th Homeland Security Summit, Canberra, Australia, 345-355.
  112. H.A. Abbass, S. Baker, A. Bender, and R. Sarker (2006) Identifying the fleet mix in a military setting, The Second International Intelligent Logistics Systems Conference, 22 - 23 February 2006, Brisbane, Queensland.
  113. R. Sarker, G. Freeman, S. Kara, B. Kayis, T. Ray and H. Abbass (2006) A Multi-agent Approach for Analyzing Material Flow in a Manufacturing Supply Chain, The Second International Intelligent Logistics Systems Conference, 22 - 23 February 2006, Brisbane, Queensland.
  114. R. Sarker, S. Kara, G. Freeman, B. Kayis, T. Ray and H. Abbass (2005) A Multi-agent Simulation Study for Supply Chain Operation, International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA2005), 28 - 30 November 2005, Vienna, Austria.
  115. Abbass H.A., Barlow M., Essam D., and Yubin Y. (2005) Connecting the dots to disconnect them: A study into network evolution and dynamics for analyzing terrorist networks, The International Society for Optical Engineering (SPIE), Microelectronics, MEMS, and Nanotechnology Symposium, Complex Systems Conference, Brisbane, Qld, 2005.
  116. Yang A., Abbass H.A., and Sarker R. (2005) Risk Assessment of Capability Requirements Using WISDOM-II, The International Society for Optical Engineering (SPIE), Microelectronics, MEMS, and Nanotechnology Symposium, Complex Systems Conference, Brisbane, Qld, 2005.
  117. Yang A., Abbass H.A., Barlow M., Sarker R., and Curtis N. (2005) Evolving capability requirements in WISDOM-II, in Advances in Artificial Life, Abbass H.A., Bossamier T., and Wiles J. (Eds), World Scientific Publisher, pp. 335-348.
  118. Bui L.T., Essam D., Abbass H.A., Green D. (2004) Performance analysis of evolutionary multi-objective optimization algorithms in noisy environments, Asia Pacific Symposium on Intelligent and Evolutionary Systems, pp. 29-39.
  119. Jiang Q., Sarker R., and Abbass H.A. (2004) Tracking moving targets and The non-stationary travelling salesman problem, Asia Pacific Symposium on Intelligent and Evolutionary Systems, pp. 171-179.
  120. Shan Y, McKay R I, Abbass H. A. and Essam D L (2004) “Program Distribution Estimation with Grammar Models”, Asia Pacific Symposium on Intelligent and Evolutionary Systems, pp. 191-205.
  121. Abbass H.A. (2004) Learning Regularities and Patterns using Probabilistic Finite State Machines, Asia-Pacific Conference on Complex Systems (Complex’04).
  122. Watson J., Abbass H.A., Lokan C., and Lindsay P. (2004) Software engineering for artificial life, complex systems, and agent-based distillation, Asian-Pacific Conference on Complex Systems (Complex2004).
  123. Hoai N X, McKay R I, Essam D L and Abbass H. A. (2004) Genetic Transposition in Tree-Adjoining Grammar Guided Genetic Programming: The Relocation Operator, Proceedings, Asia-Pacific Conference on Simulated Evolution and Learning, Busan, Korea, October.
  124. R. Sarker and H.A. Abbass Identification of Future ADF Vehicles and Trailer Fleets for project Overlander, Proceedings of the 2002 Mathematics-in-Industry Study Group, UniSA, Adelaide, Australia, pp. 35-52, 2003.
  125. D. Essam and H.A. Abbass. Artificial Life Models for Security and Safety. The First Australian Conference on Artificial Life (ACAL2003), Canberra, ACT, Australia, pages 73-85, December 2003.
  126. J. Teo and H.A. Abbass. Neuro-Morpho Evolution: What Will Happen If Our Body Is Not Symmetric? The First Australian Conference on Artificial Life (ACAL2003), Canberra, ACT, Australia, pages, 261-275, December 2003.
  127. J. Teo and H.A. Abbass “Multi-objectivity for brain-behavior evolution of a physically-embodied organism”. In Standish, R., Bedau, M., and Abbass, H., editors, Artificial Life VIII: The 8th International Conference on Artificial Life, pages 312– 318, Cambridge, MA. MIT Press, 2002.
  128. J. Teo and H.A. Abbass “Coordination and synchronization of locomotion in a virtual robot”. In Wang, L., Rajapakse, J., Fukushima, K., Lee, S., and Yao, X., editors, Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), volume 4, pages 1931–1935, 2002.
  129. J. Teo and H.A. Abbass “Trading-off mind complexity and locomotion in a physically simulated quadruped”. In Wang, L., Tan, K., Furuhashi, T., Kim, J., and Yao, X., editors, Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL’02), volume 2, pages 776–780, 2002.
  130. B.B. Wang, R I. McKay, H.A. Abbass and M. Barlow. “Learning Text Classifier using the Domain Concept Hierarchy”. In Proceedings of International Conference on Communications, Circuits and Systems, China, 2002.
  131. P.E. Macrossan, B.P. Kinghorn, and H.A. Abbass “The prediction of true GTPI for cost-effective DNA testing”, 7th World Congress on Genetics Applied to Livestock Production, France, 2002.
  132. H.A. Abbass and R. Sarker, “Simultaneous Evolution of Architectures and Connection Weights in ANNs”, The Artificial Neural Networks and Expert Systems Conference (ANNES2001), Dunedin, New Zealand, pp 16-21, Nov. 2001.
  133. P.E. Macrossan, B.P. Kinghorn, and H.A. Abbass “A model for Cost Effective DNA Testing”, The Artificial Neural Networks and Expert Systems Conference (ANNES2001), Dunedin, New Zealand, pp 163-168, Nov. 2001.
  134. R.I. McKay and H.A. Abbass “Analyzing Anti-correlation in Ensemble Learning”, The Artificial Neural Networks and Expert Systems Conference (ANNES2001), Dunedin, New Zealand, pp 22-27, Nov. 2001.
  135. H.A. Abbass “A Single Queen Single Worker Honey Bees Approach to 3-SAT”, The Genetic and Evolutionary Computation Conference, GECCO2001, San Francisco, USA, 2001.
  136. H.A. Abbass, “A Haplometrosis MBO Approach to Satisfiability”, the International Conference on Computational Intelligence for Modelling, Control and Automation CIMCA'2001, Los Vegas, USA, 2001.
  137. R. Sarkar, H.A. Abbass and C. Newton “Solving Multiobjective Optimization Problems Using Evolutionary Algorithms”, the International Conference on Computational Intelligence for Modelling, Control and Automation CIMCA'2001, Los Vegas, USA, 2001.
  138. H.A. Abbass, W. Bligh , M. Towsey, G. Finn and M. Tierney “Knowledge discovery in a dairy cattle database: (Automated knowledge acquisition)”, Proceedings of the Fifth International Conference of The International Society for Decision Support Systems (ISDS'99), Melbourne, Australia, July, 1999.
  139. H.A. Abbass, G. Wiggen, R. Lakshmanan and B. Morton “Constraint Programming for Process Synthesis”, The first international conference on the Practical Application of Constraint Technologies and Logic Programming (PACLP99), London, UK, April, 1999.
  140. M.H. Rasmy, R.M.R. Bahgat, and H.A. Abbass “From constraint logic programming (CLP) to decision making logic programming (DMLP)”. The First European Conference in Intelligent Management Systems in Operations, Salford University, UK, 1997.
  141. H.A. Abbass, R.M.R. Bahgat and M.H. Rasmy “The front-end of an intelligent goal programming system”, 6th. International conference on computer theory and applications, Alex., Egypt, Sept. 1996.
  142. H.A. Abbass, R.M.R. Bahgat and M.H. Rasmy “Evaluation of constraint logic programming from an operations research point of view”. The 3rd International conference on artificial intelligence, American University in Cairo, Egypt, 1995.

    143. Refereed Workshops

  143. S. Alam, K. Shafi, H.A. Abbass, and M. Barlow (2007) Evolving Air Traffic Scenarios for the Evaluation of Conflict Detection Models, 6th Eurocontrol Innovative Research Workshop, Eurocontrol Experimental Research Centre, France, Dec 4-6, 2007.
  144. M.H. Ngugen, S. Alam, and H.A. Abbass (2007) Dynamic Weather Avoidance in a Traffic Constrained Airspace, 6th Eurocontrol Innovation Research Workshop and Conference, Eurocontrol Experiment Research Center, Paris, France, Dec 4-6, 2007
  145. Dam H., Abbass H.A., and Lokan C. (2005) Be Real! XCS with Continuous-Valued Inputs. The Eighth International Workshop on Learning Classifier Systems (IWLCS-2005), Washington D.C., ACM Press, 2005.
  146. Yang A., Abbass H.A. and Sarker R. (2005) Evolving Agents for Network Centric Warfare. Second Workshop on Military and Security Applications of Evolutionary Computation, Washington D.C., ACM Press, 2005.
  147. M. Barlow, J. Galloway, and H.A. Abbass “Mining Evolution Through Visualization “. Beyond Fitness: Visualising Evolution, a Workshop at the 8th International Conference on the Simulation and Synthesis of Living Systems (ALife 8), Sydney, Australia, December, 2002.
  148. J. Teo and H.A. Abbass “Search Space Difficulty of Evolutionary Neuro-Controlled Legged Robots” The 6th Australasia-Japan Joint Workshop on Intelligent and Evolutionary Systems (AJWIS2002), Canberra, Australia, 2002.
  149. B. Liu, H. Abbass and R.I. Mckay “Density-Based Heuristic for Rule Discovery with Ant-Miner” The 6th Australasia-Japan Joint Workshop on Intelligent and Evolutionary Systems (AJWIS2002), Canberra, Australia, 2002.
  150. Y. Shan, H. Abbass, R.I. McKay and D. Essam “AntTAG: a further study” The 6th Australasia-Japan Joint Workshop on Intelligent and Evolutionary Systems (AJWIS2002), Canberra, Australia, 2002.
  151. H.A. Abbass and J. Teo “A True Annealing Approach to the Marriage in Honey-Bees Optimization Algorithm”, The Inaugural workshop on Artificial Life, AL'01, Adelaide, Dec. 2001.
  152. R. Sarker, H.A. Abbass and S. Karim, “An Evolutionary Algorithm for Constrained Multiobjective Optimization Problems”, The 5th Australasia-Japan Joint Workshop on Intelligent and Evolutionary Systems (AJWIS2001), Dunedin, New Zealand, Nov. 2001.
  153. R.I. McKay and H.A. Abbass “Anti-correlation Measures in Genetic Programming”, The 5th Australasia-Japan Joint Workshop on Intelligent and Evolutionary Systems (AJWIS2001), Dunedin, New Zealand, Nov. 2001.
  154. N.X. Hoai and H.A. Abbass “An Evolutionary Algorithm For Changing Environments” In Computer Science Monograph 1: Proceedings of the Post-graduate Conference on Computer Science, ISBN 0-7317-0507-6, 23-30, July 2001.
  155. L.R. Jones and H.A. Abbass “Evolving Colony of Ants for the Traveling Salesman Problem” In Computer Science Monograph 1: Proceedings of the Post-graduate Conference on Computer Science, ISBN 0-7317-0507-6, 47-54, July 2001.
  156. S.J. Monypenny, H.A. Abbass and C. Newton “A Bayesian update to Ant Colony Optimisation for the Traveling Salesman Problem” In Computer Science Monograph 1: Proceedings of the Post-graduate Conference on Computer Science, ISBN 0-7317-0507-6, 55-62, July 2001.
  157. J. Teo and H.A. Abbass “An Annealing Approach to the Mating-Flight Trajectories in the Marriage in Honey Bees Optimization Algorithm” In Computer Science Monograph 1: Proceedings of the Post-graduate Conference on Computer Science, ISBN 0-7317-0507-6, 39-46, July 2001.
  158. H.A. Abbass, C. Newton, H. Barkley, A.C. Fidge, A.B. Laurilla, A.R. Perry and P.B. Spencer, “Asexuality is sufficient for the traveling salesman”, the 4th Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems, Tokyo, Japan, 31 Oct - 2 Nov, 2000.
  159. H.A. Abbass, M. Towsey, E. Kozan and J. van der Werf, J. “Why do we need to kill all the ants? An evolutionary approach to ant colony optimisation for large scale dynamic allocation”, the 4th Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems, Tokyo, Japan, 31 Oct - 2 Nov, 2000.
  160. P. Darbyshire, H.A. Abbass, M. Barlow and B. Mckay “A prototype design for studying emergent battlefield behaviour through multi-agent simulation”, the 4th Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems, Tokyo, Japan, 31 Oct - 2 Nov, 2000.
  161. H.A. Abbass, M. Towsey and G. Finn “An intelligent decision support system for dairy cattle mate-allocation”, The Australian workshop for intelligent decision support and knowledge management (AWIDS'98), Sydney, Australia, 1998.

    162. Books

  162. H.A. Abbass (2002) “Computational Intelligence Techniques for Decision Making: with Applications to the Dairy Industry”, ISBN 3-89825-408-9, dissertation.de Verlag publishing, Germany.
  163. H.A. Abbass (2002) “An Intelligent Tool for Process Synthesis”, ISBN 3-89825-409-7, dissertation.de Verlag publishing, Germany.

    164. Edited Books & Proceedings

  164. Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein A. Abbass, Hitoshi Iba, Guoliang Chen, Xin Yao, “6th International Conference on Simulated Evolution and Learning”, Lecture Notes in Computer Science 4247 Springer 2006.
  165. Abbass, H. A., Bossomaier, T., & Wiles, T. (Eds.) (2005). Advances in Natural Computation (Vol.3). River Edge, NJ: World Scientific Publishing Co.
  166. Ruhul Sarker, Robert Reynolds, Hussein Abbass, Kay-Chen Tan, Robert McKay, Daryl Essam, and Tom Gedeon (Eds), “Proceedings of the Congress on Evolutionary Computation”, IEEE-Press, ISBN 0-7803-7804-0, 2003
  167. Hussein Abbass and Janet Wiles (Eds), “Proceedings of the Australian Conference on Artificial Life”, ISBN 0-9751528-0-7, 2003
  168. Russell Standish, Mark Bedau and Hussein Abbass (Eds), “The 8th International Conference on the Simulation and Synthesis of Living Systems”, MIT-Press (USA), 2002.
  169. H.A. Abbass, R. Sarker and C. Newton (Eds) (2002) “Data Mining: A Heuristic Approach”, Idea Group Publishing (USA).
  170. R. Sarker, H.A. Abbass and C. Newton (Eds) (2002) “Heuristics and Optimisation for Knowledge Discovery”, Idea Group Publishing (USA).
  171. Eleonora Bilotta, Dominique Gross, Tom Smith, Tom Lenaerts, Seth Bullock, Henrik Hautop Lund, Jon Bird, Richard Watson, Pietro Pantano, Luigi Pagliarini, Hussein Abbass, Russell Standish and Mark Bedau (Eds), “Workshop Proceedings of the 8th International Conference on the Simulation and Synthesis of Living Systems”, UNSW, ISBN 0 7317 0509 2, December, 2002.
  172. H.A. Abbass and M. Barlow (Eds) “Computer Science Monograph 1: Proceedings of the Post-graduate Conference on Computer Science”, ADFA-Printing, ISBN 0-7317-0507-6, July 2001.
  173. H.A. Abbass (Eds) “Short Lectures in Data Mining and Heuristics”, ADFA-Printing, ISBN 0-7317-0506-8, November, 2000.
  174. H.A. Abbass and M. Towsey (Eds) “The applications of Artificial Intelligence, Optimisation, and Bayesian Methods to Agriculture”. QUT-Printing, ISBN 1-86435-463-1, 1999.

    Other Publications

  175. H.A. Abbass, M. Towsey, and G. Finn “A Meta-Representation for Integrating OR and AI in an Intelligent Decision Support Paradigm”. The 15th National Conference of the Australian Society for Operations Research, Gold Coast, Australia, July, 1999.
  176. H.A. Abbass, M. Towsey, and G. Finn “C-Net: generating multivariate decision trees from artificial neural networks using C5”, Technical Report FIT-TR-99-04.
  177. H.A. Abbass, M. Towsey, and G. Finn “A stochastic multi-objective dynamic programming model for multiple generation mate-allocation problems “, Technical Report FIT-TR-99-02.
  178. H.A. Abbass, P. Macrossan, M. Towsey, K. Mengersen, and G. Finn “Knowledge Discovery in a Dairy Database: Mining for predictive models”, Technical Report FIT-TR-99-01.
  179. H.A. Abbass “A quadratic optimiser in a constraint logic programming paradigm”. The workshop of constraint, 11th Australia Joint Conference in Artificial Intelligence, Australia, 1998.
  180. H.A. Abbass, M. Towsey, and G. Finn “OR and Data Mining for Intelligent Decision Support System in the Australian Dairy Industry's Breeding Program”, New Research in Operations Research Conference, Brisbane, 1998.
  181. H.A. Abbass “Egyptian's State Budget - Evaluation of monetary and fiscal policies”, working paper, Faculty of Economics, Cairo Univ., 1996.
  182. H.A. Abbass “Shadow prices and expert systems, (New interpretation and integration)”, working paper, Institute of Statistical Studies and Research (ISSR), Computer and Information Sciences' Dept., Cairo University, 1993.

Last update: June 30, 2007 02:01:05 PM ALAR: Artificial Life and Adaptive Robotics Lab