Publications List

    Journals

  1. Shafi K. and Abbass H.A. An Adaptive Genetic-Based Signature Learning System for Intrusion Detection, Expert Systems with Applications, Elsevier Science, Vol(36), Issue 10, Pages 12036-12043. Early Draft Download
  2. Bui L., Abbass H.A., and Essam D. Localization for Solving Noisy Multi-objective Optimization Problems, Evolutionary Computations, MIT Press, Fall 2009, Vol. 17, No. 3, Pages 379-409. Early Draft Download
  3. Abbass H.A., Alam S., and Bender A. (2009) MEBRA: Multiobjective Evolutionary Based Risk Assessment, IEEE Computational Intelligence Magazine, IEEE Press, August 2009, Pages 29-36. Early Draft Download
  4. Abbass H.A. and Bender A. (2009) The Pareto Operating Curve for Risk Minimization, Artificial Life and Robotics Journal, Vol.14. Early Draft Download
  5. Quek H.Y., Tan K.C., and Abbass H.A. (2009) Evolutionary Game Theoretic Approach for Modeling Civil Violence, IEEE Transactions on Evolutionary Computation, 13(4), Pages 1-21. Early Draft Download
  6. Alam S., Shafi K., H.A. Abbass and M. Barlow (2009)An Ensemble Approach for Conflict Detection in Free Flight by Data Mining, Transportation Research Part C, 17(3), Pages 298-317. Early Draft Download
  7. Bui L.T., Barlow M. and Abbass H.A. (2009) A Multiobjective Risk-based Framework for Mission Capability Planning, New Mathematics and Natural Computation, World Scientific, 5(2), pp 459-485. Early Draft Download
  8. Lennon P., Kinghorn B., and Abbass H.A. (2009). Cyclic Genotyping Strategies. III: A Comparison of Predictive Methods for Group Genotyping, Journal of Animal Breeding and Genetics, 126(2), 117-126. Early Draft Download
  9. Quek H.Y., Tan K.C., Goh C.K., and Abbass H.A. (2009) Evolution and incremental learning in the iterated prisoner's dilemma, IEEE Transactions on Evolutionary Computation, 13(2), 303-320. Early Draft Download
  10. Rojanavasu P., Dam H.H., Abbass H.A., Lokan C. and Pinngern O. (2009). A Self-Organized, Distributed, and Adaptive Rule-Based Induction System, IEEE Transactions on Neural Networks, 20(3), 446-459. Early Draft Download
  11. Shafi K., Kovacs T., Abbass H.A., and Zhu W. (2009) Intrusion Detection with Evolutionary Learning Classifier Systems, Natural Computing, Springer, 8(1), 3-27. Early Draft Download
  12. Bui L.T., Abbass H.A. and Essam D. (2009). Local Models - an Approach to Distributed Multi-objective Optimization, Computational Optimization and Application Journal, 42(1), 105-139. Early Draft Download citations
  13. Badham J., Abbass H.A., and Stocker R. (2008). Parameterisation of keeling’s network generation algorithm, Journal of Theoretical Population Biology, 74(2), 161-166. Early Draft Download
  14. Alam S., Abbass H.A. and Barlow M. (2008), ATOMS: Air Traffic Operations and Management Simulator, IEEE Transactions on Intelligent Transportation. vol 9(2), 209-225. Early Draft Download
  15. 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. Early Draft Download
  16. Dam H., H.A. Abbass, Lokan C. and Yao X. (2008) Neural-Based Learning Classifier Systems,IEEE Transactions on Knowledge and Data Engineering, vol 20(1), 26-39. Early Draft Download
  17. 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. Early Draft Download
  18. 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. Early Draft Download
  19. 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. Early Draft Download
  20. 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. Early Draft Download citations
  21. Yang A., Abbass H.A., and Sarker H (2006). Characterizing Warfare in Red Teaming, IEEE Transactions on Systems, Man, Cybernetics, Part B, 36(1). Early Draft Download
  22. Abbass H.A. (2006) An Economical Cognitive Approach for Bi-Objective Optimization Using Bliss Points and Interaction, Soft Computing, Springer, 10(8), 687-698. Early Draft Download
  23. 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. Early Draft Download citations
  24. Teo J. and Abbass H.A. (2005) Multi-objectivity and Complexity in Embodied Cognition. IEEE Transactions on Evolutionary Computation, 9(4), pp. 337-360. Early Draft Download
  25. 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. Early Draft Download High citations
  26. 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. Early Draft Download citations
  27. 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. Early Draft Download
  28. 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. Early Draft Download citations
  29. Shan Y, McKay R I, Abbass H. A. and Essam D L (2004) Program Distribution Estimation with Grammar Models. Complexity International, Vol. 11, pp. 191-205.Early Draft Download
  30. H.A. Abbass (2003) Speeding up Back-Propagation Using Multiobjective Evolutionary Algorithms, Neural Computation, MIT Press, vol. 15, No 11, 2705-2726. Early Draft Download High citations
  31. Teo J. and Abbass H.A. (2003) Search Space Difficulty of Evolutionary Neuro-Controlled Legged Robots. The International Journal of Knowledge Based Intelligent Engineering Systems, Vol.7(3), 149-156. Early Draft Download citations
  32. McKay R. and Abbass H.A. (2003) Artificial Life: An Introduction. The International Journal of Computational Intelligence and Applications, World Scientific, Volume 3, No 2, pp 143-144. Early Draft Download
  33. 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). Early Draft Download
  34. 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. Early Draft Download
  35. 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. Early Draft Download High citations
  36. 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. Early Draft Download High citations
  37. 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. Early Draft Download citations
  38. 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. Early Draft Download
  39. 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. Early Draft Download citations
  40. 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. Early Draft Download citations
  41. 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. Early Draft Download
  42. 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. Early Draft Download
  43. 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.
  44. 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.

    45. Book Chapters

  45. O. Soliman, L.T. Bui, and H. Abbass (2009). A Memetic Coevolutionary Multi-Objective Differential Evolution Algorithm. In Multi-Objective Memetic Algorithms, C-K. Goh, Y-S. Ong, K.C. Tan (Eds). Springer, Studies in Computational Intelligence, Vol (171), Pages 369-388, ISBN 978-3-540-88050-9. Early Draft Download
  46. H.H. Dam, P. Rojanavasu, H.A. Abbass and C. Lokan (2008). Distributed Learning Classifier Systems. In Learning Classifier Systems in Data Mining, Larry Bull and Ester Bernado-Mansilla and John H. Holmes (Eds), Springer, Studies in Computational Intelligence Series, Pages 69-91, Vol (125), ISBN 978-3-540-78978-9. Early Draft Download
  47. Teo J., Neri L.D., Nguyen M.H. and Abbass H.A. (2008). Walking with EMO: Multi-Objective Robotics for Evolving Two, Four and Six Legged Locomotion. In Multi-Objective Optimization in Computational Intelligence: Theory and Practice, Lam Thu Bui and Sameer Alam (Eds), chapter 11, pages 300-332, IGI Global Publications. Early Draft Download
  48. L.T. Bui, M.H. Nguyen, J. Branke, H.A. Abbass (2008) Tackling Dynamic Problems with Multiobjective Evolutionary Algorithms. In Multiobjective Problem Solving from Nature: From Concepts to Applications, Joshua Knowles, David Corne, and Kalyanmoy Deb (Eds), Springer, Natural Computing Series, Pages 77-92, ISBN 978-3-540-72963-1. Early Draft Download
  49. 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. Early Draft Download
  50. 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. Early Draft Download
  51. 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. Early Draft Download citations
  52. 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. Early Draft Download
  53. 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. Early Draft Download
  54. 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. Early Draft Download
  55. 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. Early Draft Download
  56. 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. Early Draft Download
  57. 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. Early Draft Download
  58. 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. Early Draft Download
  59. 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. Early Draft Download
  60. 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. Early Draft Download
  61. 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. Early Draft Download
  62. 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. Early Draft Download

    63. Lecture Notes

  63. B. Barbosa, L.T. Bui, H.A. Abbass, L.A. Aguirre, and A.P. Braga. Evolving an Ensemble of Neural Networks using Artificial Immune Systems, SEAL 2008, LNCS 5361, 121-130. Early Draft Download
  64. Sameer Alam, Minh Ha Nguyen, Hussein A. Abbass, Michael Barlow: Ants Guide Future Pilots. ACAL 2007, LNCS 4828, 36-48. Early Draft Download
  65. Ayman Ghoneim, Michael Barlow, Hussein A. Abbass: Rounds Effect in Evolutionary Games. ACAL 2007, LNCS 4828, 72-83. Early Draft Download
  66. 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. Early Draft Download
  67. 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. Early Draft Download citations
  68. 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. Early Draft Download
  69. 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. Early Draft Download
  70. 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. Early Draft Download
  71. 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. Early Draft Download citations
  72. 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. Early Draft Download
  73. 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. Early Draft Download
  74. 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. Early Draft Download
  75. 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. Early Draft Download citations
  76. 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. Early Draft Download citations
  77. 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. Early Draft Download High citations
  78. 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. Early Draft Download
  79. 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. Early Draft Download citations
  80. 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. Early Draft Download citations
  81. 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. Early Draft Download
  82. 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. Early Draft Download
  83. 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. Early Draft Download High citations
  84. 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. Early Draft Download

    85. IEEE Proceedings

  85. Bui L.T., Wesolkowski S., Bender A., Abbass H.A. and Barlow M. (2009). A Dominance-based Stability Measure for Multi-Objective Evolutionary Algorithms, IEEE Congress on Evolutionary Computation (CEC), Norway. Early Draft Download
  86. Bui V.Q., Bui L.T., Abbass H.A., Bender A. and Ray P. (2009). On the Role of Information Networks in Logistics: An Evolutionary Approach with Military Scenarios, IEEE Congress on Evolutionary Computation (CEC), Norway. Early Draft Download
  87. Alam S., Tang J., Abbass H.A. and Lokan C.J. (2009) The effect of symmetry in representation on scenario-based risk assessment for air-traffic conflict resolution strategies, IEEE Congress on Evolutionary Computation (CEC), Norway. Early Draft Download
  88. Chen K.Y., Lindsay P.A., Robinson P.J. and Abbass H.A. (2009). A Hierarchical Conflict Resolution Method for Multi-Agent Path Planning, IEEE Congress on Evolutionary Computation (CEC), Norway, 2009. Early Draft Download
  89. 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, 1633-1640. Early Draft Download
  90. 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. Early Draft Download
  91. 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. Early Draft Download
  92. 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. Early Draft Download
  93. 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. Early Draft Download
  94. 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. Early Draft Download
  95. 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. Early Draft Download
  96. 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. Early Draft Download
  97. 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. Early Draft Download
  98. 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. Early Draft Download
  99. 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. Early Draft Download
  100. 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. Early Draft Download
  101. 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. Early Draft Download
  102. 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. Early Draft Download
  103. 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. Early Draft Download High citations
  104. 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. Early Draft Download
  105. 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. Early Draft Download
  106. 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. Early Draft Download
  107. 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. Early Draft Download
  108. 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. Early Draft Download
  109. H.A. Abbass “Self-adaptive Pareto Differential Evolution”, The IEEE Congress on Evolutionary Computation (CEC2002), 2002.
    Early Draft Download High citations
  110. 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. Early Draft Download citations
  111. H.A. Abbass “Marriage in Honey Bees Optimisation: A Haplometrosis Polygynous Swarming Approach”, The IEEE Congress on Evolutionary Computation (CEC2001), Seoul, Korea, 2001. Early Draft Download high citations
  112. H.A. Abbass, R. Sarkar, and C. Newton “PDE A pareto differential evolution approach to vector optimisation problems”, The IEEE Congress on Evolutionary Computation (CEC2001), Seoul, Korea, 2001. Early Draft Download High citations

    113. ACM Proceedings

  113. 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, 1437-1444. Early Draft Download
  114. 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, 1081-1088. Early Draft Download
  115. 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. Early Draft Download citations
  116. 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. Early Draft Download citations
  117. 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. Early Draft Download citations
  118. 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. Early Draft Download
  119. 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. Early Draft Download citations
  120. 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. Early Draft Download citations

    121. Other Refereed Conferences

  121. J. Tang, S. Alam, H.A. Abbass, C. Lokan (2009) Modelling and evolutionary multi-objective evaluation of interdependencies and work processes in airport operations. GEC Summit 2009: 977-984. Early Draft Download
  122. 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. Early Draft Download
  123. Abbass H.A., Baker S., Bender A. and Sarker R. (2007) Anticipating Future Army Supply Chain Fleet Capabilities, SimTecT. Early Draft Download
  124. 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. Early Draft Download
  125. 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. Early Draft Download
  126. 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. Early Draft Download
  127. 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. Early Draft Download
  128. 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. Early Draft Download
  129. 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. Early Draft Download
  130. 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. Early Draft Download
  131. 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. Early Draft Download
  132. Alam S., Abbass H.A., Barlow M. and Lindsay P. (2005) Mapping Lessons from Ants to Free Flight: An Ant-based Weather Avoidance Algorithm in Free Flight Airspace, The International Society for Optical Engineering (SPIE), Microelectronics, MEMS, and Nanotechnology Symposium, Complex Systems Conference, Brisbane, Qld, 2005. Early Draft Download citations
  133. Alam S., McPartland M., Barlow M., Lindsay P., and Abbass H.A. (2005) Neural Evolution for Collision Detection & Resolution in a 2D Free Flight Environment, in Advances in Artificial Life, Abbass H.A., Bossamier T., and Wiles J. (Eds), World Scientific Publisher, pp. 13-28. Early Draft Download
  134. Bui L.T., Abbass H.A., and Essam D. (2005) Cooperative Coevolution of Genotype-Phenotype Mappings to Solve Epistatic Optimization Problems, in Advances in Artificial Life, Abbass H.A., Bossamier T., and Wiles J. (Eds), World Scientific Publisher, pp. 29-42. Early Draft Download
  135. 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. Early Draft Download
  136. 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. Early Draft Download citations
  137. 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. Early Draft Download
  138. 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. Early Draft Download
  139. Abbass H.A. (2004) Learning Regularities and Patterns using Probabilistic Finite State Machines, Asia-Pacific Conference on Complex Systems (Complex’04). Early Draft Download
  140. 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). Early Draft Download
  141. 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. Early Draft Download
  142. 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. Early Draft Download
  143. 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. Early Draft Download
  144. 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. Early Draft Download
  145. 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. Early Draft Download citations
  146. 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. Early Draft Download
  147. 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. Early Draft Download citations
  148. 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. Early Draft Download
  149. 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. Early Draft Download
  150. 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. Early Draft Download
  151. 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. Early Draft Download
  152. 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. Early Draft Download citations
  153. 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. Early Draft Download citations
  154. H.A. Abbass, “A Monogenous MBO Approach to Satisfiability”, the International Conference on Computational Intelligence for Modelling, Control and Automation CIMCA'2001, Los Vegas, USA, 2001. Early Draft Download citations
  155. 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. Early Draft Download citations
  156. 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. Early Draft Download
  157. 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. Early Draft Download
  158. Abbass H.A., Towsey M. and Finn G. OR and data mining for intelligent decision support in the Australian dairy industry's breeding program. Proceedings of New Research in OR, ASOR, Brisbane, pages 1-23, 1998. Early Draft Download
  159. 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. Early Draft Download
  160. 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. Early Draft Download
  161. 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. Early Draft Download

    162. Refereed Workshops

  162. 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. Early Draft Download
  163. 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. Early Draft Download
  164. 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. Early Draft Download citations
  165. 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. Early Draft Download
  166. 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. Early Draft Download citations
  167. 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. Early Draft Download
  168. 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. Early Draft Download citations
  169. 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. Early Draft Download
  170. 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. Early Draft Download citations
  171. 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. Early Draft Download citations
  172. 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. Early Draft Download citations
  173. 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. Early Draft Download
  174. 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. Early Draft Download
  175. 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. Early Draft Download
  176. 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. Early Draft Download
  177. 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. Early Draft Download
  178. 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. Early Draft Download
  179. 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. Early Draft Download
  180. 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. Early Draft Download

    181. Books

  181. 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.
  182. H.A. Abbass (2002) “An Intelligent Tool for Process Synthesis”, ISBN 3-89825-409-7, dissertation.de Verlag publishing, Germany.

    183. Edited Books & Proceedings

  183. 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.
  184. Abbass, H. A., Bossomaier, T., & Wiles, T. (Eds.) (2005). Advances in Natural Computation (Vol.3). River Edge, NJ: World Scientific Publishing Co.
  185. 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
  186. Hussein Abbass and Janet Wiles (Eds), “Proceedings of the Australian Conference on Artificial Life”, ISBN 0-9751528-0-7, 2003
  187. Russell Standish, Mark Bedau and Hussein Abbass (Eds), “The 8th International Conference on the Simulation and Synthesis of Living Systems”, MIT-Press (USA), 2002.
  188. H.A. Abbass, R. Sarker and C. Newton (Eds) (2002) “Data Mining: A Heuristic Approach”, Idea Group Publishing (USA).
  189. R. Sarker, H.A. Abbass and C. Newton (Eds) (2002) “Heuristics and Optimisation for Knowledge Discovery”, Idea Group Publishing (USA).
  190. 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.
  191. 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.
  192. H.A. Abbass (Eds) “Short Lectures in Data Mining and Heuristics”, ADFA-Printing, ISBN 0-7317-0506-8, November, 2000.
  193. 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

  194. 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.
  195. 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.
  196. 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.
  197. 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.
  198. 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. Early Draft Download
  199. 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.
  200. H.A. Abbass “Egyptian's State Budget - Evaluation of monetary and fiscal policies”, working paper, Faculty of Economics, Cairo Univ., 1996.
  201. 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: August 10, 2009 02:01:05 PM ALAR: Artificial Life and Adaptive Robotics Lab