The Artificial Life and Adaptive Robotics Laboratory
Journals
- 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.
- 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
- J. Badham, H.A.Abbass, and R. Stocker. Parameterisation of keeling’s network generation algorithm, Journal of Theoretical Population Biology, Accepted June 2008.
- 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.
- 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.
- Shafi K., Kovacs T., Abbass H.A., and Zhu W. Intrusion Detection with Evolutionary Learning Classifier Systems, Natural Computing, Springer, Accepted August 2007.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
- 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.
- Yang A., Abbass H.A., and Sarker H (2006). Characterizing Warfare in Red
Teaming, IEEE Transactions on Systems, Man, Cybernetics, Part B, 36(1).
- Abbass H.A. (2006) An Economical Cognitive Approach for Bi-Objective
Optimization Using Bliss Points and Interaction, Soft Computing, Springer,
10(8), 687-698.
- 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.
- Teo J. and Abbass H.A. (2005) Multi-objectivity and Complexity in Embodied
Cognition. IEEE Transactions on Evolutionary Computation, 9(4), pp. 337-360.
- 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.
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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.
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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.
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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.
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H.A. Abbass (2003) Speeding up Back-Propagation Using Multiobjective
Evolutionary Algorithms, Neural Computation, MIT Press, vol. 15, No 11,
2705-2726.
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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.
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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.
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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).
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
Book Chapters
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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.
- 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.
- 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.
- 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
Lecture Notes
- Sameer Alam, Minh Ha Nguyen, Hussein A. Abbass, Michael Barlow: Ants Guide Future Pilots. ACAL 2007, LNCS 4828, 36-48.
- Ayman Ghoneim, Michael Barlow, Hussein A. Abbass: Rounds Effect in Evolutionary Games. ACAL 2007, LNCS 4828, 72-83.
- 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.
- 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
IEEE Proceedings
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- *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.
- 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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H.A. Abbass “Self-adaptive Pareto Differential Evolution”, The IEEE Congress on
Evolutionary Computation (CEC2002), 2002.
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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.
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H.A. Abbass “Marriage in Honey Bees Optimisation: A Haplometrosis Polygynous
Swarming Approach”, The IEEE Congress on Evolutionary Computation (CEC2001),
Seoul, Korea, 2001.
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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.
ACM Proceedings
- 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.
- 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.
- 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.
- 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.
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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.
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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.
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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.
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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.
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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.
Other Refereed Conferences
- 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.
- Abbass H.A., Baker S., Bender A. and Sarker R. (2007) Anticipating Future Army Supply Chain Fleet Capabilities, SimTecT
- El-Sawah S., Abbass H.A. and Sarker R. (2007) Complex Supply Networks: A Multi-Agent Simulation Model for Risk Assessment, SimTecT.
- 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.
- 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Abbass H.A. (2004) Learning Regularities and Patterns using Probabilistic Finite
State Machines, Asia-Pacific Conference on Complex Systems (Complex’04).
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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).
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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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
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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.
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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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
Refereed Workshops
- 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.
- 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
- 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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
Books
-
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.
-
H.A. Abbass (2002) “An Intelligent Tool for Process Synthesis”, ISBN
3-89825-409-7, dissertation.de Verlag publishing, Germany.
Edited Books & Proceedings
- 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.
- Abbass, H. A., Bossomaier, T., & Wiles, T. (Eds.) (2005). Advances in Natural Computation (Vol.3). River Edge, NJ: World Scientific Publishing Co.
- 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
- Hussein Abbass and Janet Wiles (Eds), “Proceedings of the Australian
Conference on Artificial Life”, ISBN 0-9751528-0-7, 2003
- Russell Standish, Mark Bedau and Hussein Abbass (Eds), “The 8th International
Conference on the Simulation and Synthesis of Living Systems”, MIT-Press (USA),
2002.
- H.A. Abbass, R. Sarker and C. Newton (Eds) (2002) “Data Mining: A Heuristic
Approach”, Idea Group Publishing (USA).
- R. Sarker, H.A. Abbass and C. Newton (Eds) (2002) “Heuristics and
Optimisation for Knowledge Discovery”, Idea Group Publishing (USA).
- 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.
- 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.
- H.A. Abbass (Eds) “Short Lectures in Data Mining and Heuristics”,
ADFA-Printing, ISBN 0-7317-0506-8, November, 2000.
- 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
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
H.A. Abbass “Egyptian's State Budget - Evaluation of monetary and fiscal
policies”, working paper, Faculty of Economics, Cairo Univ., 1996.
-
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