Year 2007
Journal Papers
1. Nhu Binh HO, Joc Cing TAY and Edmund M-K. LAI, "An Effective Architecture for Learning and Evolving Flexible Job-Shop Schedules," European Journal of Operations Research, Vol. 179 (2) , pp. 316-333, June 2007.
2. Zaiyi Guo and Joc Cing Tay, “Multi-Timescale Event Scheduling in Multi-Agent Immune Simulation Models,” To appear in Journal of Biosystems, Elsevier, 2007.
3. H. Y. Limanto, J. C. Tay and A. Watkins, "An Immune Systems Approach for Classifying Mobile Phone Usage," In the International Journal of Data Warehousing & Mining, 3(2), 54-66, April-June 2007.
4. Joc Cing Tay and Nhu Binh Ho, “Evolving Dispatching Rules for solving Multi- Objective Flexible Job-Shop Problems,” To appear in the Journal of Computers and Industrial Engineering, 2007.
5. Z. Zhu, Y. S. Ong and M. Dash, Markov Blanket-Embedded Genetic Algorithm for Gene Selection, Pattern Recognition, Vol. 40, no. 11, pp. 3236-3248, Nov 2007.
6. Z. Zhu, Y. S. Ong and M. Dash, Wrapper-Filter Feature Selection Algorithm Using A Memetic Framework, IEEE Transactions On Systems, Man and Cybernetics - Part B, Vol. 37, no. 1, pp. 70-76, Feb 2007.
7. F. Neri, J. Toivanen, G. L. Cascella and Y. S. Ong, "An Adaptive Multimeme Algorithm for Designing HIV Multidrug Therapies, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Special Issue on Computational Intelligence Approaches in Computational Biology and Bioinformatics, Vol. 4, No. 2, pp. 264-278, April 2007.
8. J. Tang, M. H. Lim and Y. S. Ong, "Diversity-Adaptive Parallel Memetic Algorithm for Solving Large Scale Combinatorial Optimization Problems", Soft Computing Journal, Vol. 11, No. 9, pp. 873-888, July 2007.
9. Z. Z. Zhou, Y. S. Ong, P. B. Nair, A. J. Keane and K. Y. Lum, “Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization”, IEEE Transactions On Systems, Man and Cybernetics - Part C, Vol. 37, No. 1, Jan. 2007, pp. 66-76.
10. D. Lim, Y. S. Ong, Y. Jin, B. Sendhoff and B. S. Lee, “Efficient Hierarchical Parallel Genetic Algorithms Using Grid Computing”, Future Generation Computer Systems: The International Journal of Grid Computing: Theory, Methods and Applications, Vol. 23, No. 4, pp. 658–670, 2007.
11. Z. Z. Zhou, Y. S. Ong, M. H. Lim and B. S. Lim, "Memetic Algorithm using Multi-Surrogates for Computationally Expensive Optimization Problems", Soft Computing Journal, Vol. 11, No. 10, pp. 957-971, August 2007.
12. Nhu Binh Ho and Joc Cing Tay, "Solving Multiple Objective Flexible Job Shop Problems by Evolution and Local Search," Accepted for publication in IEEE Transactions in Systems, Man and Cybernetics, Part C: Application and Reviews, April 2007.
Conference Papers
1. Nhu Binh Ho and Joc Cing Tay, “Approximating Single and Multi-objective Lower Bounds for the Flexible Job Shop Problem,” submitted to IEEE Congress on Evolutionary Computation (CEC 2007), Singapore.
2. Zaiyi Guo and Joc Cing Tay, “Assessing Causal Intuitions in Agent-based Microbiological Models,” Abstract to appear in the European Conference on Complex Systems (ECCS 2007). Dresden, Germany, Oct 1 – 4th, 2007.
3. Nhu Binh Ho and Joc Cing Tay, "Using Evolution and Local Search to Solve Multi-objective Flexible Job Shop Schedules," To appear in the proceedings of GECCO 2007, July 7-11th, London, UK, 2007.
4. Zaiyi Guo and Joc Cing Tay, “A Hybrid Agent-based Model of Chemotaxis,” In Proceedings of the 7th International Conference on Computational Science (ICCS 2007), LNCS 4487, pp. 119–127, 2007.
5. D. Lim, Y. S. Ong, Y. Jin, and B. Sendhoff, 'A Study on Metamodeling Techniques, Ensembles, and Multi-Surrogates in Evolutionary Computation', Genetic and Evolutionary Computation Conference, pp. 1288 - 1295, London, UK. 2007.
6. E. P. Sulaiman, Y. S. Ong, M. Salahuddin and T. Hung, 'A Flow Model of Web Services For The Grid', GCA 2007, pp. 65-75, Singapore.
7. H. Soh, Y. S. Ong, M. Salahuddin, T. Hung and B. S. Lee, ‘Playing in the Objective Space: Coupled Approximators for Multi-Objective Optimization’, IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, pp. 325-332, Apr 2007.
8. M. Salahuddin, T. Hung, H. Soh, E. Sulaiman, Y. S. Ong, B. S. Lee, Y. Ren, ‘Grid-based PSE for Engineering of Materials (GPEM)’, CCGrid, pp. 309-316, May 2007.
9. Z. Zhu and Y. S. Ong, 'Memetic Algorithms For Feature Selection On Microarray Data', Fourth International Symposium on Neural Networks, Vol. 4491/2007, pp. 1327-1335, June 3-7, 2007, Nanjing, China.
Year 2006
Journal Papers
1. Y. S. Ong, M. H. Lim, N. Zhu and K. W. Wong, "Classification of Adaptive Memetic Algorithms: A Comparative Study", IEEE Transactions On Systems, Man and Cybernetics - Part B, Vol. 36, No. 1, pp. 141-152, February 2006. Available here as PDF file.
2. Y. S. Ong, P. B. Nair and K. Y. Lum, "Max-Min Surrogate-Assisted Evolutionary Algorithm for Robust Aerodynamic Design", Special Issue on Evolutionary Optimization in the Presence of Uncertainties, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 4, pp. 392-404, August 2006. Available here as PDF file.
3. C. W. Yeu , M. H. Lim, G. B. Huang, A. Agarwal and Y. S. Ong, "A New Machine Learning Paradigm for Terrain Reconstruction", IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 3, NO. 3, JULY 2006, pp. 382-386.
5. D. Lim, Y. S. Ong, Y. Jin, B. Sendhoff, and B. S. Lee, “Inverse Multi-objective Robust Evolutionary Design”, Genetic Programming and Evolvable Machines Journal, Vol. 7, No. 4, pp. 383-404, December, 2006.
6. J. Tang, M. H. Lim and Y. S. Ong, “Parallel Memetic Algorithm with Selective Local Search for Large Scale Quadratic Assignment Problems”, International Journal of Innovative Computing, Information and Control, Vol. 2, No 6, pp. 1399-1416, Dec 2006.
7. Q. Cao, M. H. Lim, J. H. Li, Y. S. Ong, W. L. Ng, “A Context Switchable Fuzzy Inference Chip”, IEEE Transactions on Fuzzy Systems, Vol. 14, No. 4, pp. 552- 567, August 2006.
8. D. Lim, Y. S. Ong, Y. Jin, B. Sendhoff, and B. S. Lee, Inverse Multi-objective Robust Evolutionary Design, Genetic Programming and Evolvable Machines Journal, Vol. 7, No. 4, pp. 383-404, December, 2006.
9. Z. Zhu, Y. S. Ong and M. Dash, "Wrapper-Filter Feature Selection Algorithm Using A Memetic Framework", IEEE Transactions On Systems, Man and Cybernetics - Part B, accepted 2006.
10. Y. S. Ong, K. Y. Lum and P. B. Nair, “Evolutionary Algorithm with Hermite Radial Basis Function Interpolants for Computationally Expensive Adjoint Solvers”, Computational Optimization and Applications, Accepted 2006.
Conference Papers
1. D. Lim, Y. S. Ong, Y. Jin and B. Sendhoff, "Trusted Evolutionary Algorithm", IEEE Congress on Evolutionary Computation, pp. 149- 156, July 16-21, CEC 2006, Sheraton Vancouver Wall Centre, Vancouver, BC, Canada. Available here as PDF file.
2. Y. S. Ong, Z. Z. Zong and D. Lim, "Curse and Blessing of Uncertainty in Evolutionary Algorithm Using Approximation", IEEE Congress on Evolutionary Computation, pp. 2928 - 2935, July 16-21, CEC 2006, Sheraton Vancouver Wall Centre, Vancouver, BC, Canada. Available here as PDF file.
3. Joc Cing Tay and Philip Tan, “Evolving Boolean Networks to find Intervention Points in Dengue Pathogenesis,” In Proceedings of the IEEE Engineering in Medicine and Biology Conference (EMBC 2006), pp5315-5321, 2006.
4. J. C. Tay and H. L. Peng, "The Baldwin Effect under Spatial Isolation and Autonomous Reproduction,” In Proceedings of the Genetic and Evolutionary Conference (GECCO 2006), pp235-236, 2006.
5. Y. S. Ong, Q. H Nguyen, M. H. Lim and T. Jing, “A Development Platform for Memetic Algorithm Design”, Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems, SCIS&ISIS 2006, 20-24 September , 2006, O-okayama Campus West Bldg. 9, Tokyo Institute of Technology, Japan.
6. J. Tang, M. H. Lim and Y. S. Ong, "Adaptation for parallel memetic algorithm based on population entropy", Proceedings of the 8th annual conference on Genetic and Evolutionary Computation (GECCO), Seattle, Washington, USA, pp. 575 - 582, 2006.
7. S. D. Handoko, C. K. Kwoh, Y. S. Ong, L. Z. Guang and B. Vladimir, "Extreme Learning Machine for Predicting HLA-Peptide Binding", Third International Symposium on Neural Networks, Lecture Notes in Computer Science, vol. 3973, pp.716-721, 2006, Springer-verlag.
8. S. Kuah and J. C. Tay, “Combining Simplex with Niche-based Evolutionary Computation for Job-Shop Scheduling,” In Proceedings of the Genetic and Evolutionary Conference (GECCO 2006), vol 1, pp583-590, 2006.
Year 2005
Journal Papers
1. D. Lim, Q.T. Ho, J.W. Zhang, B.S. Lee, Y. S. Ong, "MOGAS, A Multi-Organizational Grid Accounting System", International Journal on Information Technology, Vol. 11, No. 4, pp. 84-103, 2005.
2. J. Song, J. Singh, M. Koh, Y.S. Ong, S. See, Grid Workflow Management System, International Journal on Information Technology, Vol. 11, No. 4, pp. 50-57, 2005.
Conference Papers
1. Z. Guo and J. C. Tay, “A Comparative Study of Modeling Strategies of Immune System Dynamics under HIV-1 Infection,” to be presented at the International Conference for Artificial Immune Systems (ICARIS 2005), 14 – 17th August, Banff, Alberta, Canada.
2. Z. X. Ong, J. C. Tay, C. K. Kwoh, “Applying the Clonal Selection Principle to find Flexible Job-Shop Schedules,” to be presented at the International Conference for Artificial Immune Systems (ICARIS 2005), 14 – 17th August, Banff, Alberta, Canada.
3. Z. Guo, H. K. Han, J. C. Tay, “Sufficiency Verification of HIV-1 Pathogenesis based on Multi-Agent Simulation,” to be presented at GECCO 2005, Washington D.C. USA, June 25-29, 2005.
4. Tay Joc Cing and Jhavar Atul, "CAFISS: A Complex Adaptive Framework for Immune Systems Simulation," In Proceedings of the ACM Symposium for Applied Computing - Bioinformatics, Mar 13 - 17, Santa Fe, New Mexico, 2005.
5. Z. Guo., H. K. Han., J. C. Tay, “Modeling Immune Dynamics of HIV-1 Infection Using Multi-Agent Simulation,” Abstract published at the Graduate Student Symposium for the 3rd Asia Pacific Bioinformatics Conference (APBC 2005).
6. Q. T. Ho, W. T. Cai and Y. S. Ong, "Design and Implementation of An Efficient Multi-cluster GridRPC System", IEEE Cluster Computing and Grid Conference, pp. 358 - 365, 9-12 May 2005.
7. H.K. Ng, D. Lim, Y. S. Ong, B. S. Lee, L. Freund, S. Parvez and B. Sendhoff, "A Multi-Cluster Grid Enabled Evolution framework for Aerodynamic Airfoil Design Optimization", International Conference on Natural Computing, 27-29 August 2005, Lecture Notes on Science 3611, pp. 1112-1121, Springer-verlag, L. P. Wang, K. Chen and , Y. S. Ong, Eds. Available here as PDF file.
8. Z. Z. Zhou, Y. S. Ong, M. H. Nguyen and D. Lim, "A Study on Polynomial Regression and Gaussian Process Global Surrogate Model in Hierarchical Surrogate-Assisted Evolutionary Algorithm", Special Session on Evolutionary Computation in Dynamic and Uncertain Environments (ECiDUE'05), IEEE Congress on Evolutionary Computation, Edinburgh, United Kingdom, pp. 2832- 2839, Vol. 3, September 2-5, 2005. Available here as PDF file.
9. D. Lim, Y. S. Ong and B. S. Lee, "Inverse Multi-Objective Robust Evolutionary Design Optimization in the Presence of Uncertainty", GECCO 2005, Washington D.C. USA, pp. 55 - 62, June 25-29, 2005. Available here as PDF file .
10. H. K. Ng, Y. S. Ong, T. Hung and B. S. Lee, "Grid Enabled Optimization", European Grid Conference, 2005, Lecture Notes in Computer Science, vol. 3470, pp. 296-304, 2005.
Year 2004
Books/Book
Chapters
1. K. W. Wong, , C. C. Fung, T. D. Gedeon and Y. S. Ong, "Generalisation of Neural Networks for Intelligent Data Analysis", in D. Wang (Ed) Neural Networks Applications in Information Technology and Web Engineering, in press.
2. Y. S. Ong, P. B. Nair, A. J. Keane and K. W. Wong, "Surrogate-Assisted Evolutionary Optimization Frameworks for High-Fidelity Engineering Design Problems", Knowledge Incorporation in Evolutionary Computation, editor: Y. Jin, Studies in Fuzziness and Soft Computing Series, Springer Verlag, pp. 307 - 331, 2004. Available here as PDF file.
Journal Papers
1. Y. S. Ong and A.J. Keane, "Meta-Lamarckian Learning in Memetic Algorithm", IEEE Transactions On Evolutionary Computation, Vol. 8, No. 2, pp. 99-110, April 2004. Available here as PDF file.
2. Z. Ning, Y. S. Ong, K. W. Wong and K. T. Seow, "Using Memetic Algorithms For Fuzzy Modelling", Australian Journal on Intelligent Information Processing, Special issue on Intelligent Technologies, Vol. 8, No. 3, pp. 147-154, Dec 2004. Available here as PDF file.
Conference Papers
1. C. W. Ong and J. C. Tay, "A Robust Rule-based Event Management Architecture for Call-Data Records," accepted for publication in the Eighth International Conference on Knowledge-Based Intelligent Information and Engineering Systems 2004.
2. Ho Nhu Binh and Tay Joc Cing, "GENACE: An Efficient Cultural Algorithm for solving the Flexible Job-Shop Problem," In Proceedings of the IEEE Congress on Evolutionary Computation 2004, pp1759-1766.
3. Tay Joc Cing and Djoko Wibowo, "An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules," In Proceedings of AAAI Genetic and Evolutionary Computation 2004, pp210-221.
4. Z. Z. Zhou, Y. S. Ong and P. B. Nair, "Hierarchical Surrogate-Assisted Evolutionary Optimization Framework", IEEE Congress on Evolutionary Computation, Special Session on Learning and Approximation in Design Optimization, Portland, USA, pp. 1586 - 1593, Vol.2, June 20-23, 2004. Available here as PDF file.
5. Wong K.W., Y. S. Ong, Eren H. and Fung C.C., "Hybrid Fuzzy Modelling Using Memetic Algorithm for Hydrocyclone Control", Proceedings of the 2004 International Conference on Machine learning and Cybernetics, pp. 4188-4192, 26-29 August 2004, Shanghai, China. Available here as PDF file.
6. Q. T. Ho, Y. S. Ong, W. T. Cai, H. K. Ng, and B. S. Lee, "GAD Kit - A Toolkit for Gridifying Applications", Fifth International Conference on Parallel and Distributed Computing, Applications and Technologies, Vol. 3320/2004, pp. 868-871 December 2004. Available here as PDF file.
7. W. B. Song, Y. S. Ong, H. K. Ng, A. J. Keane, S. Cox and B. S. Lee, "A Service-Oriented Approach for Aerodynamic Shape Optimization across Institutional Boundaries", Eighth International Conference on Control, Automation, Robotics and Vision, ICARCV 2004, Special Session on Computational Intelligence on the Grid, pp. 2273-2278, December 6-9, 2004, Kunming, China. Available here as PDF file.
8. T. Jing, M. H. Lim and Y. S. Ong, "Study of Migration Topology in Island Model Parallel Hybrid-GA for Large Scale Quadratic Assignment Problems", Eighth International Conference on Control, Automation, Robotics and Vision, ICARCV 2004, Special Session on Computational Intelligence on the Grid, Vol.3, pp. 2286- 2291, December 6-9, 2004, Kunming, China. Available here as PDF file.
9. H. K. Ng, Y. S. Ong, T. Hung and B. S. Lee, "Complex Engineering Design Problem Solving Environment Grid Portal", 2nd International Conference on Scientific and Engineering Computation, July 2004, Singapore. Available here as PDF file.
10. S. K. Ng, Z. X. Zhu and Y. S. Ong, "Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data", 2nd Asia-Pacific Bioinformatics Conference (APBC2004), pp. 123 - 129, Vol. 29, Dunedin, New Zealand, 18 - 22 Jan 2004. Available here as PDF file.
11. Z. X. Zhu, Y. S. Ong, K. W. Wong and K. T. Seow, "Experimental Condition Selection In Whole-Genome Functional Classification", IEEE Conference on Cybernetic and Intelligent System, pp. 295 - 300, Vol.1, December 2004.
Year 2003
Journal Papers
1. Y. S. Ong, P.B. Nair and A.J. Keane, "Evolutionary Optimization of Computationally Expensive Problems via Surrogate Modeling", American Institute of Aeronautics and Astronautics Journal, 2003, Vol. 41, No. 4, pp. 687-696. Available here as PS
file.
Conference Papers
1. Z. Ning, Y. S. Ong, K. W. Wong and M. H. Lim, "Choice of Memes In Memetic Algorithm", 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003), Special Session on Optimization using Genetic, Evolutionary, Social and Behavioral Algorithms, December 15-18, 2003, Singapore. Available here as PDF file.
2. Z. Ning, Y. S. Ong, K. W. Wong and K. T. Seow, "Parameter Identification Using Memetic Algorithms for Fuzzy Systems", Fourth International Conference on Intelligent Technologies, pp. 4188 - 4193, Vol.7, 17-19 December 2003, Thailand, Chiang Mai. Available here as PDF file.
3. T. Jing, M. H. Lim and Y. S. Ong, "Island Model Parallel Hybrid-GA for Large Scale Combinatorial Optimization", 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003), Special Session on Optimization using Genetic, Evolutionary, Social and Behavioral Algorithms, pp. 621 - 628, December 15-18, 2003, Singapore. Available here as PDF file.
4. T. Jing, M. H. Lim and Y. S. Ong, "A Parallel Hybrid GA for Combinatorial Optimization Using Grid Technology", IEEE Congress on Evolutionary Computation, pp. 1895 - 1902, Vol.3, December 8-12, 2003, Canberra, Australia. Available here as PDF file.
5. Q. T. Ho, Y. S. Ong, W. T. Cai, "Gridifying Aerodynamic Design Problem Using GridRPC", Second Grid and Cooperative Computing: Second International Workshop, GCC 2003, Shanghai, China, December 7-10, 2003, Lecture Notes in Computer Science, Springer-Verlag Heidelberg, Part I, Subject: Computer Science, Volume 3032 / 2004, editors: Minglu Li, Xian-He Sun, Qianni Deng, et al., pp. 83 - 90, Online Date: April 2004. Available here as PS file.
6. K. W. Wong, Y. S. Ong, T. D. Gedeon and C. C. Fung, "Intelligent Well Log Data Analysis for Reservoir Characterization", Fourth International Conference on Intelligent Technologies, pp. 203-208, 17-19 December 2003, Thailand, Chiang Mai.
7. D. M. Shi, Y. S. Ong and E. C. Tan, "Handwritten Chinese Character Recognition Using Kernel Active Handwriting Model", IEEE International Conference on Systems, Man & Cybernetics, pp. 251 - 255, Vol.1, October 5-8, 2003, Washington, D.C., USA.
Year 2002
Journal Papers
1. Y. S. Ong and A.J. Keane, "A domain knowledge based search advisor for design problem solving environments", Engineering Applications of Artificial Intelligence, 2002, Vol. 15, No. 1, pp. 105-116. Available here as PS file.
Conference Papers
1. Y. S. Ong and A.J. Keane, "An Automated Optimization System for Aircraft Wing Design", Seventh International Conference on Artificial Intelligence in Design, Cambridge, UK, July 2002.
2. A. Choudhury, Y. S. Ong and A.J. Keane, Extracting Latent Structures in Numerical Classification: An investigation using two factor models, 9th International Conference on Neural Information Processing, pp. 1842 - 1846, Vol.4, 18-22 November 2002.
3. Y. S. Ong, A.J. Keane and P.B. Nair, "Surrogate-Assisted Coevolutionary Search", 9th International Conference on Neural Information Processing, Special Session on Trends in Global Optimization, pp. 1140 - 1145, Vol.3, 18-22 November 2002. Available here as PS file.
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