Prof. Hussein A. Abbass


School of Engineering and Information Technology
University of New South Wales - Canberra - Australia

Email: h D abbass A adfa D edu D au

Home


Publications


Books

  1. Abbass H.A., Scholz J and Reid D. (To Appear) Foundations of Trusted Autonomy, Springer.
  2. Abbass H.A. (2015) Computational Red Teaming: Risk Analytics of Big-Data-to-Decisions Intelligent Systems, Springer International Publishing Switzerland. ISBN 978-3-319-08280-6(Hard Cover), 978-3-319-08281-3 (EBook), ISBN-10 3319082809, doi:10.1007/978-3-319-08281-3.
  3. Liu J., Green D.G., Abbass H.A. (2014) Dual Phase Evolution, Springer-Verlag, New York, ISBN 978-1-4419-8422-7 (hard cover), 978-1-4419-8423-4 (EBook), ISBN-10 1441984224, doi:10.1007/978-1-4419-8423-4.

Journal Papers

  1. Xuejie, L., Merrick K., and Abbass H.A. (to appear) Towards Electroencephalographic Profiling of Player Motivation: A Survey, IEEE Transactions on Cognitive and Developmental Systems.
  2. Goh S.K., Abbass H.A., Tan K.C., Al-Mamun A., Wang C., Guan C. (to appear) Automatic EEG Artifact Removal Techniques by Detecting Influential Independent Components, IEEE Transactions on Emerging Topics in Computational Intelligence.
  3. Wang S.L., Shafi K., Ng T.F., Lokan C., Abbass H.A. (2017) Contrasting Human and Computational Intelligence Based Autonomous Behaviors in a Blue–Red Simulation Environment, IEEE Transactions on Emerging Topics in Computational Intelligence, 1(1), 27–40. doi:10.1109/TETCI.2016.2641929. [Open Access Full Paper available for Download for Free]
  4. Shafi K., Abbass H.A. (2017) A Survey of Learning Classifier Systems in Games, IEEE Computational Intelligence Magazine, 12, 42 – 55. doi:10.1109/MCI.2016.2627670.
  5. Zhang B., Shafi K., and Abbass H.A. (2017) On Benchmark Problems and Metrics for Decision Space Performance Analysis in Multi-Objective Optimization, International Journal of Computational Intelligence and Applications, 16(1), 1750006-1750024.
  6. Wang B., Merrick K., and Abbass H.A. (2017) Co-operative Coevolutionary Neural Networks for Mining Functional Association Rules, IEEE Transactions on Neural Networks and Learning Systems, 28(6), 1331-1344, doi:10.1109/TNNLS.2016.2536104.
  7. Gee S.B., Tan K. C., and Abbass H.A. (2017) A Benchmark Test Suite for Dynamic Evolutionary Multiobjective Optimization, IEEE Transactions on Cybernetics, 47(2), 461-472, doi:10.1109/TCYB.2016.2519450.
  8. Goh S. K., Abbass H. A., Tan K. C., and Al Mamun, A. (2016) , Soft Computing, 20(4), 1289-1304, doi:10.1007/s00500-015-1587-7.
  9. Abbass H.A., Leu G., and Merrick K. (2016) A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data, IEEE Access, 4, 2808 - 2830, doi:10.1109/ACCESS.2016.2571058. [Open Access Full Paper available for Download for Free]
  10. Abbass H.A., Petraki E., Merrick K., Harvey J., and Barlow M. (2016) Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges, Cognitive Computation, 8(3), 385-408. 10.1007/s12559-015-9365-5.[Open Access Full Paper available for Download for Free]
  11. Abbass H.A., Greenwood G., and Petraki E. (2016) The N-Player Trust Game and its Replicator Dynamics, IEEE Transactions on Evolutionary Computation, 20(3), 470-474,. doi:10.1109/TEVC.2015.2484840
  12. Leu, G. and Abbass, H.A. (2016) A Multi-Disciplinary Review of Knowledge Acquisition Methods: From Human to Autonomous Eliciting Agents, Knowledge-Based Systems, 105, 1-22, August. doi:10.1016/j.knosys.2016.02.012.
  13. ElFiki H., Petraki E., and Abbass H. A. (2016) Pairwise Comparative Classification for Translator Stylometric Analysis. ACM Transactions on Asian Language Information Processing, 16(1), Article 2 Online first, doi:10.1145/2898997.
  14. Xin Q., Xu J.X., Tan K.C., and Abbass H. A. (2016) Adaptive Cross-Generation Differential Evolution Operators for Multi-objective Optimization, IEEE Transactions on Evolutionary Computation, 20(2), 232-244. doi:10.1109/TEVC.2015.2433672.
  15. Ghoneim A and Abbass H.A. (2016) A Multiobjective Distance Separation Methodology to Determine Sector-Level Minimum Separation for Safe Air Traffic Scenarios European Journal of Operational Research, 253(1), 226–240, doi:10.1016/j.ejor.2016.02.031.
  16. Xiong, J., Leus, R., Yang, Z., & Abbass, H. A. (2016) Evolutionary multi-objective resource allocation and scheduling in the Chinese navigation satellite system project. European Journal of Operational Research, 251(2), 662–675, doi:10.1016/j.ejor.2015.11.031
  17. Harvey J., Merrick K., and Abbass H.A.(2015) Application of chaos measures to a simplified Boids flocking model, Swarm Intelligence, vol. 9, pp. 23-41.
  18. Abbass H.A., Jiangjun T., Ellejmi M., Kirby S. (2014) Visual and auditory reaction time for air traffic controllers using quantitative electroencephalograph (QEEG) data, Brain Informatics, no. 2198-4018.
  19. Leu G., Curtis N., and Abbass H.A. (2014) Society of Mind cognitive agent architecture applied to drivers adapting in a traffic context, Adaptive Behaviour, vol. 22, no. 2, pp. 123 - 145.
  20. Abbass H.A., Tang J., Amin R., Ellejmi M., Kirby S. (2014) The computational air traffic control brain: Computational red teaming and big data for real-time seamless brain-traffic integration, Journal of Air Traffic Control, vol. 52, no. 2, pp. 10-17.
  21. Xiong J., Liu J., Chen Y., and Abbass H.A. (2014) A Knowledge-based Evolutionary Multi-objective Approach for Stochastic Extended Resource Investment Project Scheduling Problems. IEEE Transactions on Evolutionary Computation, vol. 18, no. 5, pp. 742 - 763.
  22. Zhao W., Alam S., Abbass H.A. (2014) MOCCA-II: A multi-objective co-operative co-evolutionary algorithm', Applied Soft Computing, vol. 23, pp. 407-416.
  23. Nguyen L., Bui L. and Abbass H.A. (2014) DMEA-II: the Direction-based Multi-objective Evolutionary Algorithm - II, Soft Computing, vol. 18, no. 11, pp. 2119 - 2134.
  24. Alam S., Lokan C., Aldis G., Barry S., Butcher R., and Abbass H.A. (2013) Systemic Identification of Airspace Collision Risk Tipping points using an Evolutionary Multi-Objective Scenario-based Methodology, Transportation Research Part C, Elsevier, vol. 35, pp. 57 - 84.
  25. Shafi K. and Abbass H.A. (2013) Evaluation of an Adaptive Genetic-Based Signature Extraction System for Network Intrusion Detection, Pattern Analysis and Applications, Springer, vol. 16, no. 4, pp. 549 - 566.
  26. Zhao W., Alam S. and Abbass H.A. (2013) Evaluating Ground-Air Network Vulnerability in an Integrated Terminal Maneuvering Area Using Co-evolutionary Computational Red Teaming, Transportation Research Part C, Elsevier, 29(4), 32-54.
  27. Wang S., Shafi K., Lokan C., and Abbass H.A. (2013) An agent based model to simulate and analyse behaviour under noisy and deceptive information, Adaptive Behaviour, Sage, 21(2), 96-117, 2013.
  28. Shafi K., Bender A., Zhong W., and Abbass H.A. (2012) Spatio-Temporal Dynamics of Security Investments in an Interdependent Risk Environment, Physica A: Statistical Mechanics and its Applications, 391(20), 5004-5017
  29. Liu J., Abbass H.A., Green D.G., Zhong W. (2012) Motif Difficulty (MD): A Novel Predictive Measure of Problem Difficulty for Evolutionary Algorithms based on Network Motifs, Evolutionary Computation, MIT Press, 20(3), 1-27.
  30. Alam S., Zhao W., Tang J., Lokan C., Ellejmi M., Kirby S. and Abbass H.A. (2012) A Co-Evolutionary Framework for Identifying Delay Patterns in Arrival Traffic and Ground Events for Dynamic CDA Operations, Air Traffic Control Quarterly, 20(1), 47-72.
  31. Tang J., Alam S., Lokan C. and Abbass H.A. (2012) A Multi-Objective Approach for Dynamic Airspace Sectorization Using Agent Based and Geometric Models, Transportation Research Part C, Elsevier, 21(1), 89-121.
  32. Bui V., Pham V.V., Iorio A.W., Tang J., Alam S. and Abbass H.A. (2012) Bio-Inspired Robotics for Air Traffic Weather Information Management, The Transactions of the Institute of Measurement and Control, Sage, 34(2-3), 291-317.
  33. Bui L., Abbass H.A., Barlow M., and Bender A. (2012) Robustness Against the Decision-Maker's Attitude to Risk in Problems with Conflicting Objectives, IEEE Transactions on Evolutionary Computation, 16(1), 1-19.
  34. Abbass H.A. and Petraki E. (2011) The Causes for No Causation: A Computational Perspective, Information Knowledge Systems Management, IOS Press, Information €¢ Knowledge €¢ Systems Management, 10 (1-4), 51-74.
  35. Liu J., Abbass H.A., Zhong W., Green D.G. (2011) Local-Global Interaction and the Emergence of Scale-Free Networks with Community Structures, Artificial Life, MIT Press, 17(4), 263-279.
  36. Abbass H.A., Bender A., Gaidow S., and Whitbread P. (2011) Computational Red Teaming: Past, Present and Future, IEEE Computational Intelligence Magazine, IEEE Press, Volume 6, February 2011, Pages 30-42.
  37. Alam S., Nguyen M.H., H.A. Abbass, C. Lokan, M. Ellejmi and S. Kirby (2011) Multi-Aircraft Dynamic Continuous Descent Approach Methodology for Low Noise and Emission Guidance, AIAA Journal of Aircraft, 48(4), 1225-1237.
  38. Bui L.T., Liu J., Bender A., Barlow M., Wesolkowski S. and Abbass H.A. (2011) DMEA: a direction-based multiobjective evolutionary algorithm, Memetic Computing, Springer-Verlag, 3(4), 271-285.
  39. Zhong W., Abbass HA, Bender A, and Liu J. (2011) Mixed Strategy and Coevolution Dynamics in Social Networks, Physica A: Statistical Mechanics and its Applications, Elsevier, 390(2), Pages 410-417.
  40. Barbosa B.H.G, Bui L.T., Abbass H.A., Aguirre L.A. and Braga A.P. (2011) The use of coevolution and the artificial immune system for ensemble learning, Soft Computing, 15(9), 1735-1747.
  41. Pham V.V., Tang J., Alam S., Lokan C., and Abbass H.A. (2010) Australian Aviation Emission Inventory Development and Analysis, Environmental Modelling & Software, Elsevier, 25(12), 1738-1753.
  42. S.L. Wang, K. Shafi, C. Lokan, and H.A. Abbass (2010) Adversarial learning: the impact of statistical sample selection techniques on neural ensembles. Evolving Systems, 1(3): 181-197.
  43. Abbass H.A., Alam S., and Bender A. (2009) MEBRA: Multiobjective Evolutionary Based Risk Assessment, IEEE Computational Intelligence Magazine, IEEE Press, Volume 4, 29-36. [Impact factors 2.622]
  44. 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.
  45. 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.
  46. Tan K.C., Quek H.Y., Goh C.K., and Abbass H.A. (2009) Evolution and incremental learning in the iterated prisoners dilemma, IEEE Transactions on Evolutionary Computation, 13(2), 303-320.
  47. Bui L., Abbass H.A., and Essam D. (2009) Localization for Solving Noisy Multi-objective Optimization Problems, Evolutionary Computations, MIT Press, 17(3), 379-409.
  48. 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), 298-317.
  49. Shafi K. and Abbass H.A. (2009) An Adaptive Genetic-Based Signature Learning System for Intrusion Detection, Expert Systems with Applications, Elsevier Science, 36(10), 12036-12043.
  50. Macrossan P.E., Kinghorn B.P., and Abbass H.A. (2009) Cyclic genotyping strategies III: Investigations into group genotyping. Journal of Animal Breeding and Genetics, 126(2), 117-126.
  51. Bui L., 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.
  52. Abbass H.A. and Bender A. (2009) The Pareto Operating Curve for Risk Minimization, Artificial Life and Robotics Journal, 14(4), 449-452.
  53. 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.
  54. 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.
  55. 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.
  56. Dam H., Abbass H.A., Lokan C. and Yao X. (2008), Negative Correlation Learning for Neural-Based Learning Classifier Systems, IEEE Transactions on Data and Knowledge Engineering, vol 20(1), 26-39.
  57. 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.
  58. 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.
  59. 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.
  60. Bui L., 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.
  61. 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.
  62. Yang A., Abbass H.A., and Sarker R (2006). Characterizing Warfare in Red Teaming, IEEE Transactions on Systems, Man, Cybernetics, Part B, 36(1), 268-285.
  63. 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.
  64. H.A. Abbass (2006), An economical cognitive approach for bi-objective optimization using bliss points, visualization, and interaction. Soft Computing, 10(8): 687-698 (2006)
  65. Teo J. and Abbass H.A. (2005) Multi-objectivity and Complexity in Embodied Cognition. IEEE Transactions on Evolutionary Computation, 9(4), pp. 337-360.
  66. M.H. Nguyen, H.A. Abbass, R.I. McKay (2005) Stopping criteria for ensemble of evolutionary artificial neural networks. Applied Soft Computing, 6(1): 100-107.
  67. 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. [Impact factors 2.622].
  68. 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.
  69. 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.
  70. Abbass H.A. (2003) Speeding up Back-Propagation Using Multiobjective Evolutionary Algorithms, Neural Computation, MIT Press, vol. 15, No 11, 2705-2726.
  71. Teo J. and Abbass H.A. (2003). A True Annealing Approach to the Marriage in Honey-Bees Optimization Algorithm. The International Journal of Computational Intelligence and Applications, Volume 3, No 2, pp 199-208.
  72. McKay R. and Abbass H.A. (2003) Artificial Life: An Introduction. The International Journal of Computational Intelligence and Applications, Volume 3, No 2, pp 143-144.
  73. Teo J. and Abbass H.A. (2003) Search Space Difficulty of Evolutionary Neuro-Controlled Legged Robots. The International Journal of Knowledge Based and Intelligent Engineering Systems, Volume 7, No 3, 149-156.
  74. 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).
  75. Abbass H.A. (2002). An evolutionary artificial neural networks approach for Breast Cancer Diagnosis. Artificial Intelligence in Medicine, Elsevier Science, vol 25/3 pp 265-281.
  76. Abbass H.A. (2002). An agent based approach to 3-SAT using marriage in honey-bees optimization. International Journal of Knowledge-Based and Intelligent Engineering Systems (KES) , Vol. 6, No. 2, pp. 1-8.
  77. Abbass H.A. and Sarker R. (2002). The Pareto Differential Evolution Algorithm. International Journal on Artificial Intelligence Tools, World Scientific, vol 11, No 4, pp 531-552, 2002.
  78. Abbass H.A., Towsey M., and Finn G. (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.
  79. McKay R. and Abbass H.A. (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.
  80. Wang B.B., McKay R.I., Abbass H.A. and Barlow M. (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.
  81. Abbass H.A., Wiggen G., Lakshmanan R. and Morton B. (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.
  82. Rasmy M.H. and Abbass H.A. (1991). An interactive constraint method for solving linear programming problems. Journal of Egyptian Statistical Society, Vol. 2, July.
  83. Rasmy M.H., Abbass H.A. and Labib M.M. (1991). A proposed criterion to select the entering variable in Simplex method, (between theory and practice). Engineering Research Bulletin, Helwan Univ., Vol. 3, March.

Conferences

  1. Yang, Z., Merrick, K., Abbass, H.A., Jin, L. (2017) Handling Multi-Task Learning with Deep Reinforcement Learning, International Joint Conference on Artificial Intelligence (IJCAI’17), Melbourne, Australia.
  2. Hossain M., Alam S., Abbass H. (2017) A dynamic multi-commodity flow optimization algorithm for estimating airport network capacity. Lecture Notes in Electrical Engineering, vol. 420, 420: 205-220.
  3. Greenwood G., Abbass H.A., and Petraki E. (2017) Emotion, trustworthiness and altruistic punishment in a tragedy of the commons social dilemma, In Air Traffic Management and Systems II, Lecture Notes Artificial Intelligence, 10142, Springe-Verlag, 12-24.
  4. Zhang B., Shafi K., Abbass H.A. (2016) Hybrid knowledge-based evolutionary many-objective optimization. IEEE Congress on Evolutionary Computation, 1007-1014.
  5. Goh S.K., Abbass H.A., Tan K.C., Al-Mamun A., Guan C., Wang C.C. (2016) Multiway analysis of EEG artifacts based on Block Term Decomposition. Proceedings of the International Joint Conference on Neural Networks. 2016-October: 913-920.
  6. Tang J., Petraki E., Abbass H.A. (2016) Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-based Swarm Intelligence Model. International Conference on Swarm Intelligence, Bali, Indonesia, Springer International Publishing. 9712: 14-23. [Awarded Best Paper]
  7. Abdelfattah S., Merrick K., Abbass H .A. (2016) Theta-Beta Ratios Are Prominent EEG Features for Visual Tracking Tasks. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 60, No. 1, pp. 21-25). SAGE Publications.
  8. Abdelfattah S; Merrick K; Abbass H (2016) 'Eye Movements as Information Markers in EEG Data', IEEE Symposium Series on Computational Intelligence, Athens, Greece, presented at IEEE Symposium Series on Computational Intelligence, Athens, Greece, 06 - 09 December 2016
  9. Dunk I; Abbass H (2016) 'Emergence of Autonomy in Leader-Follower Boids-Inspired Systems', IEEE Symposium Series on Computational Intelligence, Athens, Greece, presented at IEEE Symposium Series on Computational Intelligence, Athens, Greece, 06 - 09 December 2016
  10. Wang M; Abbass H; Hu J (2016) 'Continuous Authentication Using EEG and Face Images for Trusted Autonomous Systems', The 2016 Privacy, Security and Trust Fourteenth Annual Conference, Auckland, New Zealand, 12 – 14 December 2016
  11. Liu X; Merrick K; Abbass H (2016) 'Designing Artificial Agents to Detect the Motive Profile of Users in Virtual Worlds and Games', IEEE Symposium Series on Computational Intelligence, Athens, Greece, presented at IEEE Symposium Series on Computational Intelligence, Athens, Greece, 06 - 09 December 2016
  12. Wang M; Abbass H; Hu J; Merrick K (2016) 'Detecting Rare Visual and Auditory Events from EEG Using Pairwise-Comparison Neural Networks', The 8th International Conference on Brain-Inspired Cognitive Systems, China, presented at The 8th International Conference on Brain-Inspired Cognitive Systems, China, 01 - 01 January 2016
  13. Greenwood G., Abbass H.A., and Petraki E. (2016) Finite Population Trust Game Replicators, Australasian Conference on Artificial Life and Computational Intelligence, LNAI 9592, Springe-Verlag, pp. 324 - 335, 10.1007/978-3-319-28270-1_27.
  14. Leu, G., & Abbass, H. (2016). Computational Red Teaming in a Sudoku Solving Context: Neural Network Based Skill Representation and Acquisition. In Intelligent and Evolutionary Systems (pp. 319-332). Springer International Publishing.
  15. Harvey J; Merrick K; Abbass H (2016) 'Quantifying Swarming Behaviour', The Seventh International Conference on Swarm Intelligence, Indonesia, presented at The Seventh International Conference on Swarm Intelligence, Indonesia, 01 - 01 January 2016
  16. Abbass H.A. and Young L. (2015) From System Thinking to Capability Thinking using the Thinking Capability Analysis Technique, MODSIM.
  17. Al-Ani, A., Naik, G. R., & Abbass, H. A. (2015, November). A Methodology for Synthesizing Interdependent Multichannel EEG Data with a Comparison Among Three Blind Source Separation Techniques. In Neural Information Processing (pp. 154-161). Springer International Publishing.
  18. Goh, S. K., Abbass, H. A., Tan, K. C., & Al Mamun, A. (2015). Evolutionary Big Optimization (BigOpt) of Signals. IEEE CEC, Japan.
  19. Wang B., Merrick K. and Abbass H.A. (2015) Autonomous Hypothesis Generation as Environment Learning Mechanism for Agent Design, LNCS 8955, Springer, 210-225.
  20. Abbass, H. A., Tang, J., Amin, R., Ellejmi, M., & Kirby, S. (2014, September). Augmented cognition using real-time EEG-based adaptive strategies for air traffic control. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 58, No. 1, pp. 230-234). SAGE Publications.
  21. Petraki E. and Abbass H.A. (2014) On Trust and Influence: A Computational Red Teaming Game Theoretic Perspective. IEEE Computational Intelligence in Defence and Security Symposium, Hanoi, December 2014.
  22. Rafael Falcon, Rami Abielmona, Sean Billings, Alex Plachkov and Hussein Abbass (2014) Risk Management with Hard-Soft Data Fusion in Maritime Domain Awareness. IEEE Computational Intelligence in Defence and Security Symposium, Hanoi, December 2014.
  23. Abbass, H. A. (2014). Calibrating independent component analysis with laplacian reference for real-time EEG artifact removal. LNCS 8836, Springer, 68-75.
  24. Goh, S. K., Abbass, H. A., Tan, K. C., & Al Mamun, A. (2014). Artifact Removal from EEG Using a Multi-objective Independent Component Analysis Model. LNCS 8834, Springer, 570-577.
  25. Leu G., Tang J., and Abbass H.A. (2014) On the role of working memory in trading-off skills and situation awareness in Sudoku, LNCS 8836, Springer, 571-578.
  26. Ren, S., Tang, J., Barlow, M., & Abbass, H. A. (2014, July). An interactive evolutionary computation framework controlled via EEG signals. In Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on (pp. 2402-2409). IEEE.
  27. Tang J. & Abbass H.A. (2014) Learning the Behavior of Aircraft Landing Sequencing using a Society of Probabilistic Finite State Machines, IEEE WCCI, Beijing, China, pp. 610-617.
  28. Amin R., Tang J., Ellejmiy M., Kirbyy S., and Abbass H.A. (2014) Trading-off Simulation Fidelity and Optimization Accuracy in Air-Traffic Experiments using Differential Evolution, IEEE WCCI, Beijing, China, pp. 475-482.
  29. Zhang B., Shafi K., and Abbass H.A. (2014) Online Knowledge-based Evolutionary Multi-Objective Optimization, pp. IEEE WCCI, Beijing, China, pp. 2222-2229.
  30. Rubai A., Tang J., Ellejmi M., Kirby S., and Abbass H.A. (2013) Computational Red Teaming for Correction of Traffic Events in Real Time Human Performance Studies, USA/Europe ATM R&D Seminar, Chicago, IL, USA,2013
  31. Nguyen L., Bui L. and Abbass H.A (2013) A New Niching Method for the Direction-based Multi-objective Evolutionary Algorithm, IEEE Symposium Series on Computational Intelligence, Singapore.
  32. Alam S., Hossain M., Lokan C., Barry S., Aldis G., Butcher R. and Abbass H.A. (2013) Real Time Prediction of Worst Case Air Traffic Sector Collision Risk using Evolutionary Optimization, IEEE Symposium Series on Computational Intelligence, Singapore.
  33. Amin R., Tang J., Ellejmi M., Kirby S. and Abbass H.A. (2013) An Evolutionary Goal-Programming Approach Towards Scenario Design for Air-Traffic Human-Performance Experiments, IEEE Symposium Series on Computational Intelligence, Singapore.
  34. Ghoneim, Ahmed, Garrison W. Greenwood, and Hussein Abbass. (2013) Distributing cognitive resources in one-against-many strategy games, IEEE Congress on Evolutionary Computation (CEC), 1387-1394. IEEE.
  35. Leu G., Curtis N., and Abbass H.A. (2012) Modeling and Evolving Human Behaviors and Emotions in Road Traffic Networks, Procedia Social and Behavioral Sciences, Elsevier, Vol 54, 999-1009.
  36. Ren S., Barlow M., and Abbass H.A. (2012) Frontal Cortex Neural Activities Shift Cognitive Resources Away from Facial Activities, 19th International Conference on Neural Information Processing (ICONIP2012), LNCS766, 132-139, Springer.
  37. Mount W., Tucek D. and Abbass H.A. (2012) A Psychophysiological Analysis of Weak Annoyances in Human Computer Interfaces, 19th International Conference on Neural Information Processing (ICONIP2012), LNCS7663, 202-209, Springer.
  38. Tucek D., Mount W. and Abbass H.A. (2012) Neural and Speech Indicators of Cognitive Load for Sudoku Game Interfaces, 19th International Conference on Neural Information Processing (ICONIP2012), LNCS7663, 210-217, Springer.
  39. Mount W., Tucek D. and Abbass H.A. (2012) Psychophysiological Evaluation of Task Complexity and Cognitive Performance in a Human Computer Interface Experiment, 19th International Conference on Neural Information Processing (ICONIP2012), LNCS7663, 600-607, Springer.
  40. Zhang B., Shafi K., and Abbass H.A. (2012) Density Based Multi-Objective Optimization for Smart Distribution Grid Design, Ninth International Conference on Simulated Evolution and Learning (SEAL2012), LNCS, Springer.
  41. Wang B., Merrick K.E., Abbass H.A. (2012) Developing Attention Focus Metrics for Autonomous Hypotheses Generation in Data Mining, Ninth International Conference on Simulated Evolution and Learning (SEAL2012), LNCS, Springer.
  42. Shafi K., Bender A., and Abbass H.A. (2012) Multi Objective Learning Classifier Systems Based Hyperheuristics for Modularised Fleet Mix Problem, Ninth International Conference on Simulated Evolution and Learning (SEAL2012), LNCS, Springer.
  43. Vu C.C., Bui L.T., and Abbass H.A. (2012) DEAL: A Direction-guided Evolutionary Algorithm, Ninth International Conference on Simulated Evolution and Learning (SEAL2012), LNCS, Springer.
  44. Wang K., Bui V., Petraki E., and Abbass H.A. (2012) From subjective to objective metrics for evolutionary story narration using event permutations, Ninth International Conference on Simulated Evolution and Learning (SEAL2012), LNCS, Springer.
  45. Alam S., Lokan C., and Abbass H.A. (2012) What can make an airspace unsafe? Characterizing collision risk using multi-objective optimization, IEEE Congress on Evolutionary Computation, Brisbane, Australia.
  46. Bui V., Bender A. and Abbass H.A. (2012) An Expressive GL-2 Grammar for Representing Story-like Scenarios, IEEE Congress on Evolutionary Computation, Brisbane, Australia.
  47. Tang J., Alam S., Lokan C. and Abbass H.A. (2012) A Multi-objective Evolutionary Method for Dynamic Airspace Re-sectorization using Sectors Clipping and Similarities. IEEE Congress on Evolutionary Computation, Brisbane, Australia.
  48. Xiong J., Shafi K. and Abbass H.A. (2012) Multi-Uncertainty Problems (MUP) with Applications to Managing Risk in Resource-Constrained Project Scheduling. IEEE Congress on Evolutionary Computation, , Brisbane, Australia.
  49. Abbass H.A., W.M. Mount, D. Tucek and JP Pinheiro (2011) Towards a Code of Best Practice for Evaluating Air Traffic control Interfaces, Australian Transport Research Forum, Adelaide, Australia.
  50. Shafi K., Bender A., and Abbass H.A. (2011) Fleet Estimation for Defence Logistics Using a Multi-Objective Learning Classifier System, Genetic and Evolutionary Computation Conference, Dublin, Ireland, ACM Press.
  51. El-Fiqi H., Petraki E., and Abbass H.A. (2011) A Computational Linguistic Approach for the Identification of Translator Stylometry using Arabic-English Text, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Taiwan.
  52. Xiong J., Liu J., Chen Y., and Abbass H.A. (2011) An Evolutionary Multi-objective Scenario-Based Approach for Stochastic Resource Investment Project Scheduling, IEEE Congress on Evolutionary Computation (IEEE-CEC), New Orleans, USA.
  53. Bui L.T., Abbass H.A., Baker S., Barlow M., Bender A., and Saker R. (2011) Grid-Based Heuristic for Two-Dimensional Packing Problems, IEEE Congress on Evolutionary Computation (IEEE-CEC), New Orleans, USA.
  54. Ghoneim A., Essam D., and Abbass H.A. (2011) On Computations and Strategies for Real and Artificial Systems, European Conference on Artificial Life, Paris, August 8-12.
  55. Alam S., Zhao W., Tang J., Lokan C., Abbass H.A., Ellejmi M. and Kirby S. (2011) Discovering Delay Patterns in Arrival Traffic with Dynamic Continuous Descent Approaches using Co-Evolutionary Red Teaming, 9th USA/EUROPE Air Traffic Management Research & Development Seminar (ATM R&D Seminar), Berlin, Germany, June 2011. [Awarded Best Paper, Ground-Air Track]
  56. Ghoneim A., Essam D., and Abbass H.A. (2011) Competency Awareness in Strategic Decision Making, IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support, Florida, USA, February, 2011.
  57. Leu G., Abbass H.A., and Curtis N. (2010) Resilience of ground transportation networks: A case study on Melbourne, Australian Transport Research Forum, Canberra, October.
  58. Purton L., Abbass H.A., and Alam S. (2010) Identification of ADS-B System Vulnerabilities and Threats, Australian Transport Research Forum, Canberra, October.
  59. Pham V., Bui L., Alam S., Lokan C. and Abbass H.A. (2010) A Pittsburgh Multi-Objective Classifier for User Preferred Trajectories and Flight Navigation, IEEE Congress on Evolutionary Computation, Barcelona, Spain.
  60. Shafi K., Bender A. and Abbass H.A. (2010) Evolutionary Dynamics of Interdependent Exogenous Risks, IEEE Congress on Evolutionary Computation, Barcelona, Spain.
  61. Boulden S., Iorio A. and Abbass H.A. (2010) Learning Synchronization Behaviours in Networked Complex Systems Using Genetic Algorithms, IEEE Congress on Evolutionary Computation, Barcelona, Spain
  62. Liu J., Zhong W., Abbass H.A. and Green D. (2010) Separated and Overlapping Community Detection in Complex Networks using Multiobjective Evolutionary Algorithms, IEEE Congress on Evolutionary Computation, Barcelona, Spain.
  63. Hossain M.M., Abbass H.A., Lokan C. and Alam S. (2010) Adversarial Evolution: Phase Transition in Non-uniform Hard Satisfiability Problems, IEEE Congress on Evolutionary Computation, Barcelona, Spain.
  64. Zhao W., Liu J., Abbass H.A. and Bender A. (2010) A Multi-objective Risk-Based Approach for Airlift Task Scheduling Using Stochastic Bin Packing, IEEE Congress on Evolutionary Computation, Barcelona, Spain.
  65. Bui V., Abbass H.A. and Bender A. (2010) Evolving Stories: Grammar Evolution for Automatic Plot Generation, IEEE Congress on Evolutionary Computation, Barcelona, Spain.
  66. Wang S.L., Shafi K., Lokan C. and Abbass H.A. (2010) Robustness of Neural Ensembles Against Targeted and Random Adversarial Learning, IEEE International Conference on Fuzzy Systems, Barcelona, Spain
  67. Wang K., Bui, V.Q. and Abbass, H.A. (2010) Evolving stories: Tree Adjoining Grammar Guided Genetic Programming for Complex Plot Generation, International Conference on Simulated Evolution and Learning (SEAL2010), Kanpur, India, 1-4 December.
  68. Alam S., Nguyen M.H., Abbass H.A., Lokan C., Ellejmi M., and Kirby S. (2010) A Dynamic Continuous Descent Approach Methodology for Low Noise and Emission. 29th IEEE/AIAA Digital Avionics Systems Conference, Salt Lake City, UT, USA, 3 Oct 2010. [Awarded Best Paper, Environment Track]
  69. Abbass H.A. and Petraki E. (2010) A pedagogical framework for succeeding in a cross-disciplinary PhD, International Higher Education Conference, Perth, Australia, November, 2010.
  70. Alam S., Lokan C.J., Abbass H.A., Ellejmi M., and S. Kirby (2010) An Evolutionary Computational Analysis of Tactical Controller Tool, Aviation Information Technology Engineering and Management Conference, New Orleans, Louisiana, USA, Mar 2010.
  71. 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.
  72. 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.
  73. 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.
  74. 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.
  75. Alam, S., Abbass, H.A., Lokan C.J. (2009) Computational Red Teaming to Investigate Failure Patterns in Medium Term Conflict Detection, 8th Eurocontrol Innovation Research Workshop and Conference, Eurocontrol Experiment Research Center, Paris, France.
  76. Abbass H.A., Bender A., Dam H., Baker S., Whitacre J. and Sarker R. (2008), Computational Scenario-based Capability Planning, Genetic and Evolutionary Computation Conference (GECCO), Atlanta, Georgia, ACM Press.
  77. Whitacre J., Abbass H.A., Sarker R., Bender A. and Baker S. (2008) Strategic Positioning in Tactical Scenario Planning, Genetic and Evolutionary Computation Conference (GECCO), Atlanta, Georgia, ACM Press.
  78. 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.
  79. Barbosa B., Bui L.T., Abbass H.A., Aguirre L.A., and Braga A.P (2008) Evolving an Ensemble of Neural Networks using Artificial Immune Systems, LNCS, SEAL.
  80. 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, 25-28 September.
  81. 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, 25-28 September.
  82. 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, 25-28 September.
  83. 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, 25-28 September.
  84. 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, 25-28 September.
  85. 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.
  86. Ghoneim A., Abbass H.A. and Barlow M. (2007) Rounds effect in evolutionary games, The 3rd Australian conference on Artificial Life (ACAL'07), LNCS 4828, pp. 72-83, 2007.
  87. Alam S., Nguyen M.H., Abbass H.A. and Barlow M. (2007) Ants guide future pilots, The 3rd Australian conference on Artificial Life (ACAL'07), LNCS 4828, pp. 36-48, 2007.
  88. Bui L.T., Soliman O. and Abbass H.A. (2007) A Modified Strategy for the Constriction Factor in Particle Swarm Optimization, The 3rd Australian conference on Artificial Life (ACAL'07), LNAI 4828, 2007.
  89. 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.
  90. 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.
  91. 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.
  92. Nguyen M.H., Alam S., Tang J., and Abbass H.A. (2007) Dynamic Weather Avoidance Trajectories in a Traffic Constrained Enroute Airspace, 6th Eurocontrol Innovative Research Workshop, 6th Eurocontrol Experimental Centre, France, Dec 4-6, 2007.
  93. Alam S., Shafi K., Abbass H.A., and Barlow M. (2007) Evolving Air Traffic Scenarios for the Evaluation of Conflict Detection Models, 6th Eurocontrol Innovative Research Workshop, Eurocontrol Experimental Centre, France, Dec 4-6, 2007.
  94. Goh C.K., Quek H.Y., Tan K.C., and Abbass H.A. (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.
  95. Shafi K., Abbass H.A., and Zhu W. (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.
  96. Yang A., Abbass H.A., and Sarker R. (2006) Land Combat Scenario Planning: A Multiobjective Approach, 6th International Conference on Simulated Evolution and Learning (SEAL'06), LNCS 4247, Hefei, China, pp. 837-844
  97. Alam S., Bui L.T., Abbass H.A., and Barlow M. (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
  98. Bui L.T., Deb K., Abbass H.A., and Essam D., (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.
  99. Bui L.T., Juergen B. and Abbass H.A. (2005) Multiobjective optimization for dynamic environments. The IEEE Congress on Evolutionary Computation (CEC), Edinburgh, UK, 2005, Vol. 3, 2349- 2356.
  100. Dam H., Abbass H.A., and Lokan C. (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.
  101. Bui L., Abbass H.A., and Essam D. (2005) Fitness inheritance for noisy evolutionary multi-objective optimization. Genetic and Evolutionary Computation Conference (GECCO), Washington D.C., ACM Press.
  102. Bui L., Branke J., and Abbass H.A. (2005) Diversity as a selection pressure in dynamic environments. Genetic and Evolutionary Computation Conference (GECCO), Washington D.C., ACM Press.
  103. Dam H., Abbass H.A., and Lokan C. (2005) DXCS: an XCS system for distributed data mining. Genetic and Evolutionary Computation Conference (GECCO), Washington D.C., ACM Press.
  104. 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 (GECCO), Washington D.C., ACM Press.
  105. Sastry K., Abbass H.A., Goldberg D., and Johnson D.D. (2005) Sub-structural niching in estimation distribution algorithms. Genetic and Evolutionary Computation Conference (GECCO), Washington D.C., ACM Press.
  106. Yang A., Abbass H.A. and Sarker R. (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.
  107. 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.
  108. 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.
  109. Dam H., Shafi K. and Abbass H.A. (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.
  110. 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.
  111. 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.
  112. Abbass H.A. (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.
  113. Shan Y., McKay R.I., Baxter R., Abbass H.A., Essam D.L., and Nguyen H X. (2004) Grammar Model-based Program Evolution, Proceedings of the Congress on Evolutionary Computation, Portland, Oregon, June.
  114. Hoai N.X., McKay R.I., Essam D.L. and Abbass H.A. (2004) Towards an Alternative Comparison between Genetic Programming Systems, The 7th European Conference on Genetic Programming (EUROGP), Lecture Notes in Computer Science, LNCS 3003, Springer-Verlag, pp. 67 -77.
  115. Sastry K., Abbass H.A. and Goldberg D. (2004) 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.
  116. Yang A., Abbass H.A. and Sarker R. (2004) 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.
  117. Teo J., Nguyen M.H. and Abbass H.A. (2003) 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.
  118. Teo J. and Abbass H.A. (2003) 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.
  119. Abbass H.A. (2003) 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.
  120. Abbass H.A., Bagirov A.M., and Zhang J. (2003) The Discrete Gradient Evolutionary Strategy Method for Global Optimization. The IEEE Congress on Evolutionary Computation (CEC2003), IEEE-Press, Vol. 1, pages 435-442, Australia.
  121. Teo J. and Abbass H.A. (2003) 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.
  122. Shan Y., McKay R.I., Abbass H.A., and Essam D. (2003) Program Evolution with Explicit Learning. The IEEE Congress on Evolutionary Computation (CEC2003), IEEE-Press, Vol. 3, pages 1639-1646, Australia.
  123. Liu B., McKay R.I., and Abbass H.A. (2003) Improving Genetic Classifiers with a Boosting Algorithm. The IEEE Congress on Evolutionary Computation (CEC2003), IEEE-Press, Vol. 4, pages 2596-2602, Australia.
  124. Hoai N.X., McKay R.I., and Abbass H.A. (2003) 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.
  125. Essam D. and Abbass H.A. Artificial Life Models for Security and Safety. The First Australian Conference on Artificial Life (ACAL2003), Canberra, ACT, Australia, pages 73-85, December 2003.
  126. Teo J. and Abbass H.A. Neuro-Morpho Evolution: What Will Happen If Our Body Is Not Symmetric? The First Australian Conference on Artificial Life (ACAL2003), Canberra, ACT, Australia, pages, 261-275, December 2003.
  127. Liu B., Abbass H.A., McKay B. (2003) Classification Rule Discovery with Ant Colony Optimization The IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), Halifax, Canada.
  128. Sarker R. and Abbass H.A. (2003) 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.
  129. Abbass H.A. (2003) 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.
  130. Teo J. and Abbass H.A. (2003) 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.
  131. Abbass H.A. and Deb K. (2003) 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.
  132. Wang B.B., McKay R I., Abbass H.A. and Barlow M. (2003) A Comparative Study for Domain Ontology Guided Feature Extraction. In Proceedings of the Australian Computer Society Conference, Australia.
  133. Abbass H.A. (2002) Self-adaptive Pareto Differential Evolution, The IEEE Congress on Evolutionary Computation (CEC2002).
  134. Abbass H.A., Hoai N.X., and McKay R.I. (2002) AntTAG: A new method to compose computer programs using colonies of ants, The IEEE Congress on Evolutionary Computation (CEC2002).
  135. Teo J. and Abbass H.A. 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.
  136. Teo J. and Abbass H.A. 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.
  137. Teo J. and Abbass H.A. 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.
  138. Barlow M., Galloway J., and Abbass H.A. 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.
  139. Abbass H.A. (2001) Marriage in Honey Bees Optimisation: A Haplometrosis Polygynous Swarming Approach, The IEEE Congress on Evolutionary Computation (CEC2001), Seoul, Korea.
  140. Abbass H.A., Sarkar R., and Newton C. (2001) A pareto differential evolution approach to vector optimisation problems, The IEEE Congress on Evolutionary Computation (CEC2001), Seoul, Korea.
  141. Abbass H.A. A Single Queen Single Worker Honey Bees Approach to 3-SAT, The Genetic and Evolutionary Computation Conference, GECCO2001, San Francisco, USA, 2001.
  142. Abbass H.A. (2001) 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.
  143. Macrossan P.E., Abbass H.A., Mengersen K., Towsey M. and Finn G. (1999) 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.

Book Chapters

  1. Wang M., Abbass H.A., and Hu J. (to appear). EEG-based Biometrics for Person Identification and Continuous Authentication, In Computational Methods in Information Security, Awad A.I., Fairhurst M. and Yen N. (Eds), Institution of Engineering and Technology (IET) publisher, forthcoming
  2. Wang, K., Petraki, E., and Abbass, H. (2016). Evolving Narrations of Strategic Defence and Security Scenarios for Computational Scenario Planning. In Recent Advances in Computational Intelligence in Defense and Security (pp. 635-661). Springer International Publishing.
  3. Bui L.T., Essam D., and Abbass H.A. (2010) The Role of Explicit Niching and Communication Messages in Distributed Evolutionary Multi-objective Optimization. In F. Fernández de Vega and E. Cantú-Paz (Eds.): Parallel and Distributed Computational Intelligence, SCI 269, pp. 181-206. Springer-Verlag Berlin, Heidelberg 2010.
  4. Zhao, W, Tang, J, Alam, S, Bender, A, Abbass H.A. (2010) Evolutionary-Computation Based Risk Assessment of Aircraft Landing Sequencing Algorithms, IFIP Advances in Information and Communication Technology, Vol 329/2010, 254-265, Springer.
  5. Bui L.T., Bender A., Barlow M., and Abbass H.A. (2010) Multiagent-Based Approach for Risk Analysis in Mission Capability Planning. In R. Sarker and R. Tapabrata (Eds): Agent-Based Evolutionary Search, Adaptation, Learning and Optimization Series, Vol 5, 77-96.
  6. Soliman O., Bui L.T., and Abbass H.A. (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.
  7. Dam H.H., Rojanavasu P., Abbass H.A. and Lokan C. (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.
  8. 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.
  9. Bui L.T., Nguyen M.H., Branke J., Abbass H.A. (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.
  10. Dam H.H., Rojanavasu P., Abbass H.A. and Lokan C. (2007) Distributed learning classifier systems. In Learning Classifier Systems in Data Mining, Bull, L., Bernado Mansilla, E. & Holmes, J. (eds), Springer, In Press
  11. Bui L.T., Nguyen M.H., Branke J., and Abbass H.A., 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, pp. 77-92, December 2007.
  12. Dam H.H., Lokan C. and Abbass H.A. (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
  13. Baker S., Bender A., Abbass H.A., and Sarker R. (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.
  14. 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.
  15. 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.
  16. Kirley M., Abbass H., and McKay R. (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.
  17. 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.
  18. 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.
  19. Abbass H.A., Towsey M., Kozan E., Van Der Werf J., and Diederich J. “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.

Edited Books

  1. Abielmona, R., Falcon, R., Zincir-Heywood, N., & Abbass, H. (Eds) (2016). Recent Advances in Computational Intelligence in Defense and Security. Springer International Publishing. ISBN 978-3-319-26448-6 (Hard Cover), 978-3-319-26450-9 (eBook), doi:10.1007/978-3-319-26450-9.
  2. Mendis P; Lai JC; Dawson E; Abbass HA, (eds.), 2007, Recent advances in security technology 2007, Original, Australian Homeland Security Research, Curtin, ACT
  3. 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.
  4. Abbass H.A. and Essam D.L. (Eds) “Applications of Information Systems to Homeland Security and Defense”, IGI publishers, USA, 2005.
  5. Abbass H.A., Bossomaier T., and Wiles J (Eds), “Recent Advances in Artificial Life”, Series: Advances in Natural Computation, Vol 3, World Scientific, ISBN 981-256-615-5, 2005.
  6. 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
  7. Hussein Abbass and Janet Wiles (Eds), “Proceedings of the Australian Conference on Artificial Life”, ISBN 0- 9751528-0-7, 2003
  8. Abbass H.A. (2002) “Computational Intelligence Techniques for Decision Making: with Applications to the Dairy Industry”, ISBN 3-89825-408-9, dissertation.de Verlag publishing, Germany.
  9. Abbass H.A. (2002) “An Intelligent Tool for Process Synthesis”, ISBN 3-89825-409-7, dissertation.de Verlag publishing, Germany.
  10. Abbass H.A., Sarker R. and Newton C. (Eds) (2002) “Data Mining: A Heuristic Approach”, Idea Group Publishing (USA).
  11. Sarker R., Abbass H.A. and Newton C. (Eds) (2002) “Heuristics and Optimisation for Knowledge Discovery”, Idea Group Publishing (USA).
  12. Russell Standish, Mark Bedau and Hussein Abbass (Eds), “The 8th International Conference on the Simulation and Synthesis of Living Systems”, MIT-Press (USA), 2002.
  13. 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.
  14. 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.
  15. H.A. Abbass (Eds) “Short Lectures in Data Mining and Heuristics”, ADFA-Printing, ISBN 0-7317-0506-8, November, 2000.
  16. Abbass H.A. and Towsey M. (Eds) “The applications of Artificial Intelligence, Optimisation, and Bayesian Methods to Agriculture”. QUT-Printing, ISBN 1-86435-463-1, 1999.