pub.gif (1713 bytes)  PUBLICATIONS

line.gif (878 bytes) 

 


Books
 

  1. Goh, C. K. and Tan, K. C. Evolutionary Multi-objective Optimization in Uncertain Environments: Issues and Algorithms,  Springer-Verlag, 2009.

  2. Tang, H. J., Tan, K. C. and Zhang, Y.  Neural Networks: Computational Models and Applications, Springer-Verlag, 2007.

  3. Wang, L. F., Tan, K. C. and Chew, C. M. Evolutionary Robotics: From Algorithms to Implementations, World Scientific, 2006.

  4. Wang, L. F. and Tan, K. C.  Modern Industrial Automation Software Design, John Wiley & Sons Inc, United Kingdom, 2006.

  5. Tan, K. C., Khor, E. F. and Lee, T. H.  Multiobjective Evolutionary Algorithms and Applications, Springer-Verlag, United Kingdom, 2005.

  6. Goh, C. K., Ong, Y. S. and Tan, K. C. (Editors). Multiobjective Memetic Algorithms, Springer-Verlag, 2009.

  7. Liu, D. K., Wang, L. F. and Tan, K. C. (Editors). Design and Control of Intelligent Robotic Systems, Springer-Verlag, 2009.

  8. Dahal, K., Tan, K. C. and Cowling, P. (Editors).  Evolutionary Scheduling, Springer-Verlag, 2007.

  9. Tan, K. C., Lim, M. H., Yao, X. and Wang L. P.  (Editors).  Recent Advances in Simulated Evolution and Learning, World Scientific, Series on Advances in Natural Computation, 2004.

 


Refereed Journal Papers
 

  1. Tan, C. H., Tan, K. C., and Shim, V. A., 'Learning believable game agents using sensor noise and action histogram", Memetic Computing, accepted.

  2. Gee, S. B., Tan, K. C., Shim, V. A., and Pal, N. R., 'Online diversity assessment in evolutionary multiobjective optimization: A geometrical perspective", IEEE Transactions on Evolutionary Computation, accepted.

  3. Su, Nguyen, Zhang, M. J., Johnston, M. and Tan, K. C., 'Automatic programming via iterated local search for dynamic job shop scheduling', IEEE Transactions on Cybernetics, accepted.

  4. Shim, V. A., Tan, K. C., Tang, H. J., 'Adaptive memetic computing for evolutionary multi-objective optimization', IEEE Transactions on Cybernetics, accepted.

  5. Yu, Q., Tang, H. J., Tan, K. C., Li, H. Z., Yu, H. Y., 'A brain-inspired spiking neural network model with temporal encoding and learning', Neurocomputing, vol. 138, pp. 3-13, 2014.

  6. Su, Nguyen, Zhang, M. J., Johnston, M. and Tan, K. C., 'Genetic programming for evolving reusable due-date assignment models in job shop environment', Evolutionary Computation, vol. 22, no. 1, pp. 105-138, 2014.

  7. Su, Nguyen, Zhang, M. J., Johnston, M. and Tan, K. C., 'Automatic design of scheduling policies for dynamic multi-objective job shop scheduling via cooperative coevolution genetic programming', IEEE Transactions on Evolutionary Computation, vol. 18, no. 2, pp. 193-208, 2014.

  8. Shim, V. A., Tan, K. C., Cheong, C. Y. and Chia, J. Y., 'Enhancing the scalability of multi-objective optimization via restricted boltzmann machine-based estimation of distribution algorithm', Information Sciences, vol. 248, pp. 191-213, Nov 2013.

  9. Chiam, S. C., Tan, K. C. and Mamun, A. A, 'Multi-objective evolutionary portfolio optimization for index tracking', Applied Soft Computing, vol. 13, no. 7, pp. 3392-3408, 2013.

  10. Shim, V. A., Tan, K. C. and Cheong, C. Y., 'An energy-based sampling technique for multiobjective restricted boltzmann machine', IEEE Transactions on Evolutionary Computation, vol. 17, no. 6, 767 - 785, Dec 2013.

  11. Su, Nguyen, Zhang, Mengjie, Johnston, Mark, Tan, K. C., 'Hybrid evolutionary computation methods for quay crane scheduling problems', Computers and Operations Research, vol. 40, no. 8, pp. 2083-2093, 2013.

  12. Yu, Q., Tang, H. J., Tan, K. C., Li, H. Z., 'Precise-spike-driven synaptic plasticity: learning hetero-association of spatiotemporal spike patterns', PloS One, vol. 8, no. 11, pp. e78318, 2013.

  13. Su, Nguyen, Zhang, M. J., Johnston, M., Tan, K. C., 'Learning iterative dispatching rules for job shop scheduling with genetic programming', International Journal of Advanced Manufacturing Technology, , vol. 67, no. 1-4, pp. 85-100, 2013.

  14. Yu, Q., Tang, H. J., Tan, K. C. and Li, H. Z., 'Rapid feedforward computation by temporal encoding and learning with spiking neurons', IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 10, pp. 1539-1552, Oct 2013.

  15. Basak, A., Das, S., and Tan, K. C., 'Multimodal optimization using a bi-objective differential evolution algorithm enhanced with mean distance based selection', IEEE Transactions on Evolutionary Computation, vol. 17, no. 5, pp. 666-685, 2013.

  16. Su, Nguyen, Zhang, M. J., Johnston, M. and Tan, K. C., 'A computational study of representations in genetic programming to evolve dispatching rules for the job shop scheduling problem', IEEE Transactions on Evolutionary Computation, vol. 17, no. 5, pp. 621-639, 2013.

  17. Shim, V. A., Tan, K. C., Chia, J.Y. and Mamun, A. Al., 'Multi-objective optimization with estimation of distribution algorithm in noisy environment', Evolutionary Computation, vol. 21, no. 1, pp. 149-177, 2013.

  18. Hu, J., Tang, H. J., Tan, K. C., Li, H.Z. and Shi, L.P., 'A spike-timing based integrated model for pattern recognition', Neural Computation, vol. 25, pp. 450-472, 2013.

  19. Shim, V. A., Tan, K. C. and Cheong, C. Y., 'A hybrid estimation of distribution algorithm with decomposition for solving the multiobjective multiple traveling salesman problem', IEEE Transactions on Systems, Man, and Cybernetic: Part C, vol. 42, no. 5, pp. 682-691, Sep 2012.

  20. Chia, J. Y., Goh, C. K., Shim, V. A., Tan, K. C., 'A data mining approach to evolutionary optimization of noisy multi-objective problems', International Journal of Systems Science, vol. 43, no. 7, pp. 1217-1247, July 2012.

  21. Gu, F. Q., Liu, H. L., and Tan, K. C., 'A multiobjective evolutionary algorithm using dynamic weight design method', International Journal of Innovative Computing, Information and Control, vol. 8, no. 5(B), pp. 3677-3688, May 2012.

  22. Chia, J. Y., Goh, C. K., Tan, K. C. and Shim, V. A., 'Memetic informed evolutionary optimization via data mining', Memetic Computing, vol. 3, no. 2, pp. 73-87, July 2011.

  23. Shim, V. A., Tan, K. C., Chia, J. Y. and Chong, J. K., 'Evolutionary algorithms for solving multi-objective travelling salesman problems', Flexible Services and Manufacturing, vol. 23, issue 2, pp. 207-241, Jun 2011.

  24. Tan, C. H., Tan, K. C. and Tay, A., 'Dynamic game difficulty scaling using adaptive behavioural based AI', IEEE Transactions on Computational Intelligence and AI in Games, vol. 3, issue 4, pp. 289-301, Dec 2011.

  25. Chen, X. S., Ong, Y. S., Lim, M. H. and Tan, K. C., 'A multi-facet survey on memetic computation', IEEE Transactions on Evolutionary Computation, vol. 15, no. 5, pp. 591-607, Oct 2011.

  26. Tan, C. H., Tan, K. C., Tay, A. 'Computationally efficient behaviour based controller for real time car racing simulation', Expert Systems With Applications, vol. 37, issue 7, pp. 4850-4859, 2010.

  27. Koo, W. T., Goh, C. K. and Tan, K. C., 'A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment', Memetic Computing, vol 2, no. 2, pp. 87-110, 2010.

  28. Goh, C. K., Tan, K. C., Cheong, C. Y. and Ong, Y. S., 'An investigation on noise-induced features in robust evolutionary multi-objective optimization', Expert Systems with Applications, vol. 37, issue 8, pp. 5960-5980, 2010.

  29. Cheong, C. Y., Tan, K. C., Liu, D. K. and Lin, C. J., 'Multi-objective and prioritized berth allocation in container ports', Annals of Operations Research, vol 180, no.1, pp. 63-103, 2010.

  30. Tan, K.C., Cheong, C. Y. and Peng, Y.,'A genetic approach for real-time identification and control of a helicopter system', International Journal of Computatioanl Intelligence in Control, vol. 2, no. 1, pp. 11-18, 2010.

  31. Chiam, S. C., Tan, K. C. and Mamun, A. Al., 'Exploiting molecular dynamics for multi-objective optimization', Expert Systems with Applications, vol. 37, issue 8, pp. 5981-5992, 2010.

  32. Goh, C. K., Tan, K. C., Liu, D. S. and Chiam, S. C., 'A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design', European Journal of Operational Research, vol. 202, issue 1, pp. 42-54, April 2010.

  33. Ang, J. H., Tan, K. C. and Mamun, A. A., 'An evolutionary memetic algorithm for rule extraction', Expert Systems With Applications, vol. 37, issue 2, pp. 1302-1315, March 2010.

  34. Zou, L., Tang, H. J., Tan, K. C. and Zhang, W. N., 'Nontrivial global attractors in 2-D multistable attractor neural networks', IEEE Transactions on Neural Networks, vol. 20, issue 11, pp. 1842-1851, November 2009.

  35. Quek, H. Y., Tan, K.C. and Tay, A., 'Public goods provision: An evolutionary game theoretic study under asymmetric information', IEEE Transactions on Computational Intelligence and AI in Games, vol. 1, issue 2, pp. 105-120, June 2009.

  36. Goh, C. K., Teoh, E. J., Tan, K. C. and Liu, D. K., 'A hybrid evolutionary approach for heterogeneous multiprocessor scheduling', Soft Computing, vol. 13, numbers 8-9, pp. 833-846, July 2009.

  37. Chiam, S. C., Tan, K. C. and Mamun, A. Al., 'A memetic model of evolutionary PSO for computational finance applications', Expert Systems With Applications, vol. 36, issue 2, pp. 3695-3711, March 2009.

  38. Quek, H. Y., Tan, K. C. and Abbass, H. A., 'Modeling civil violence: An evolutionary multi-agent, game theoretic approach', IEEE Transactions on Evolutionary Computation, vol. 13, no. 4, pp. 780-800, August 2009.

  39. Chiam, S. C., Tan, K. C. and Mamun, A. Al., 'Investigating technical trading strategy via an multi-objective evolutionary platform', Expert Systems With Applications, vol. 36, issue 7, pp. 10408-10423, September 2009.

  40. Quek, H. Y., Tan, K. C., Goh, C. K. and Abbass, H. A., 'Evolution and incremental learning in the iterated prisoner's dilemma', IEEE Transactions on Evolutionary Computation, vol. 13, no. 2, pp. 303-320, April 2009.

  41. Cheong, C. Y., Tan, K. C. and Veeravalli, B., 'A multi-objective evolutionary algorithm for examination timetabling', Journal of Scheduling, vol. 12, issue 2, pp. 121-146, 2009.

  42. Quek, H. Y., Woo, C. H., Tan, K. C. and Tay, A., 'Evolving nash-optimal poker strategies using evolutionary computation', Frontiers of Computer Science in China, vol. 3, no. 1, pp. 73-91, March 2009.

  43. Tan, K. C., Chiam, S. C., Mamun, A. A. and Goh, C. K., 'Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization', European Journal of Operational Research, vol. 197, pp. 701-713, 2009.

  44. Goh, C. K. and Tan, K. C, 'A competitive-cooperative coevolutionary paradigm for dynamic multi-objective optimization', IEEE Transactions on Evolutionary Computation, vol. 13, no. 1, pp. 103-127, Feb 2009.

  45. Tan, K. C., Teoh, E. J., Yu, Q. and Goh, K. C., 'A hybrid evolutionary algorithm for attribute selection in data mining', Expert Systems With Applications, vol. 36, pp. 8616-8630, 2009.

  46.  Zou, L., Tang, H. J., Tan, K. C. and Zhang, W. N., 'Analysis of continuous attractors for 2-D linear threshold neural networks', IEEE Transactions on Neural Networks, vol. 20, no. 1, pp. 175-180, 2009.

  47. Tan, K. C., ‘CEC 2007 Conference Report’, IEEE Computational Intelligence Magazine, vol. 3, issue 2, pp. 72-73, May 2008.

  48. Chiam, S. C., Tan, K. C., Goh, C. K. and Mamun, A. A, 'Improving locality in binary representation via redundancy', IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol. 38, issue 3, pp. 808-825, June 2008.

  49. Goh, C. K., Teoh, E. J. and Tan, K. C., 'Hybrid multiobjective evolutionary design for artificial neural networks', IEEE Transactions on Neural Networks, vol. 19, no. 9, pp. 1531-1548, September 2008.

  50. Ang, J. H., Tan, K. C. and Mamun, A. A., 'Training neural networks for classification using growth probability-based evolution', Neurocomputing, vol. 71, pp. 3493–3508, October 2008.

  51. Ang, J. H., Guan, S. U., Tan, K. C. and Mamun, A. A., 'Interference-less neural network training', Neurocomputing, vol. 71, pp. 3509–3524, October 2008.

  52. Liu, D. S., Tan, K. C., Huang, S. Y., Goh, C. K. and Ho, W. K., 'On solving multiobjective bin packing problems using evolutionary particle swarm optimization', European Journal of Operational Research, vol. 190, issue 2, pp. 357-382, October 2008.

  53. Teoh, E. J., Tan, K. C., Tang, H. J., Xiang, C. and Goh, C. K., 'An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem', Neurocomputing, vol. 71, issue 7-9, pp. 1359-1372, March 2008.

  54. Chiam, S. C., Tan, K. C. and Mamun, A. A., 'Evolutionary multi-objective portfolio optimization in practical context', International Journal of Automation and Computing, Vol. 5, No. 1, pp. 67-80, 2008.

  55. Mamun, A. Al., Tan, K. C., and Wong, W. E., 'Iterative feedback tuning (IFT) of head positioning servomechanism in hard disk drive', International Journal on Smart Sensing and Intelligent Systems, vol. 1, no. 1, pp. 269-284, 2008.

  56. Tan, K. C., Goh, C. K., Mamun, A. A. and Ei, E. Z., 'An evolutionary artificial immune system for multi-objective optimization', European Journal of Operational Research, vol. 187, no. 2, pp. 371-392, 2008.

  57. Goh, C. K., and Tan, K. C., 'An investigation on noisy environments in evolutionary multiobjective optimization', IEEE Transactions on Evolutionary Computation, vol. 11, no. 3, pp. 354-381, 2007.

  58. Liu, D. S., Tan, K. C., Goh, C. K. and Ho, W. K., 'A multiobjective memetic algorithm based on particle swarm optimization', IEEE Transactions on Systems, Man and Cybernetics: Part B (Cybernetics), vol. 37, no. 1, pp. 42-50, 2007.

  59. Tan, K. C., Cheong, C. Y. and Goh, C. K., 'Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation', European Journal of Operational Research, vol. 177, pp. 813-839, 2007.

  60. Tan, K. C., Sathikannan, R., Tan, W.W. and Loh, A. P., 'Evolutionary design and implementation of a hard disk drive servo control system', Soft Computing, vol. 11, no. 2, pp. 131-139, 2007.

  61. Teoh, E. J., Tan, K. C. and Xiang, C., 'Estimating the number of hidden neurons in a feedforward network using the Singular Value Decomposition', IEEE Transactions on Neural Networks, vol. 17, no. 6, pp. 1623-1629, 2006.

  62. Tan, K. C., Yang, Y. J. and Goh, C. K., 'A distributed cooperative coevolutionary algorithm for multiobjective optimization', IEEE Transactions on Evolutionary Computation, vol. 10, issue 5, pp. 527- 549, 2006.

  63. Tan, K. C., Yu, Q. and Ang, J. H., 'A coevolutionary algorithm for rules discovery in data mining', International Journal of Systems Science, vol. 37, no. 12, pp. 835-864, 2006.

  64. Mamun, A. AL., Wang, L. F., Tan, K. C., Heng, H. M. and Ho, P. C., 'An automated methodology for the tracking of electrical performance for memory test systems', IEEE Transactions on Instrumentation and Measurement, vol. 55, no. 3, pp. 881-891, 2006.

  65. Tan, K. C., Goh, C. K., Yang, Y. J. and Lee, T. H., 'Evolving better population distribution and exploration in evolutionary multi-objective optimization', European Journal of Operational Research, vol. 171, no. 2, pp. 463-495, 2006.

  66. Tan, K. C., Chew, Y. H. and Lee, L. H., 'A hybrid multiobjective evolutionary algorithm for solving vehicle routing problem with time windows', Computational Optimization and Applications, vol. 34, pp. 115-151, 2006.

  67. Tan, K. C., Yu, Q. and Ang, J. H., 'A dual-objective evolutionary algorithm for rules extraction in data mining', Computational Optimization and Applications, vol. 34, pp. 273-294, 2006.

  68. Tan, K. C., Chew, Y. H. and Lee, L. H., 'A hybrid multiobjective evolutionary algorithm for solving truck and trailer vehicle routing problems', European Journal of Operational Research, vol. 172, pp. 855-885, 2006.

  69. Tang, H. J., Tan, K. C. and Teoh, E. J., 'Dynamics analysis and analog associative memory of networks with LT neurons', IEEE Transactions on Neural Networks, vol. 17, no. 2, pp. 409-418, 2006.

  70. Liu, J., Lim, K. W., Ho, W. K., Tan, K. C., Tay, A. and  Srinivasan, R., 'Using the OPC standard for real-time process monitoring and control', IEEE Software, vol. 22, no. 6, pp. 54-59, 2005.

  71. Ko, C. C., Chen, B. M., Chen, J. P., Zhang, J. and Kay Chen Tan, 'A web-based laboratory on control of a two-degree-of-freedom helicopter', International Journal of Engineering Education, vol. 21, no. 6, pp. 1017-1030, 2005.

  72. Tan, K. K., Wang, K. N. and Tan, K. C., 'Internet-based resources sharing and leasing system for control engineering research and education', International Journal of Engineering Education, vol. 21, no. 6, pp. 1031-1038, 2005.

  73. Mamun, A. AL., Guo, G. X., Tan, K. C. and Liu, Y., 'Digital processing of dual-frequency servo burst in hard disk drives', IEEE Transactions on Instrumentation and Measurement, vol. 54, no. 4, pp. 1354-1360, 2005.

  74. Tan, W. W., Lu, F., Loh, A. P. and Tan, K. C., 'Modelling and control of a pilot pH plant using genetic algorithm', Engineering Applications of Artificial Intelligence, vol. 18, no. 4, pp. 485-494, 2005.

  75. Tan, K. C., Chen, Y. J., Tan, K. K. and Lee, T. H., 'Task-oriented developmental learning for humanoid robots', IEEE Transactions on Industrial Electronics, vol. 52, no. 3, pp. 906-914, 2005.

  76. Tan, K. C., Tang, H. J. and Zhang, W. N., 'Qualitative analysis for recurrent neural networks with linear threshold transfer functions', IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 52, no. 5, pp. 1003-1012, 2005.

  77. Tan, K. C., Tang, H. J. and Ge, S. S., 'Dynamical stability analysis for parameter settings of Hopfield neural networks applied to TSP', IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 52, no. 5, pp. 994-1002, 2005.

  78. Wang, L. F. and Tan, K. C., 'Software testing for safety-critical real-time automation systems', IEEE Instrumentations and Measurement Magazine, vol. 8, no. 2, pp. 38-47, June 2005.

  79. Tan, K. C., Yu, Q. and Lee, T. H., 'A distributed coevolutionary classifier for knowledge discovery in data mining', IEEE Transactions on Systems, Man and Cybernetics: Part C (Applications and Reviews), vol. 35, no. 2, pp. 131-142, 2005.

  80. Tan, K. C., Wang, M. L. and Peng, W., 'A P2P genetic algorithm environment for the Internet', Communications of the ACM, vol. 48, no. 4, pp. 113-116, 2005.

  81. Tan, K. C., Liu, D. K., Chen, Y. J. and Wang, L. F., 'Intelligent sensor fusion and learning for autonomous robot navigation', Applied Artificial Intelligence, vol. 19, no. 5, pp. 433-456, 2005.

  82. Khor, E. F., Tan, K. C., Lee, T. H. and Goh, C. K., 'A study on distribution preservation mechanism in evolutionary multi-objective optimization', Artificial Intelligence Review, vol. 23, no. 1, pp. 31-56, 2005.

  83. Wang, L. F., Tan, K. C., Jiang, X. D. and Chen, Y. B., 'A flexible automatic test system for rotating turbine machinery', IEEE Transactions on Automation Science and Engineering, vol. 2, no. 1, pp. 1-18, 2005.

  84. Tang, H. J., Tan, K. C. and Zhang, W. N., 'Cyclic dynamics analysis for networks of linear threshold neurons', Neural Computation, vol. 17, no. 1, pp. 97-114, 2005.

  85. Li, Y., Ang, K. H., Chong, G., Feng, W., Tan, K. C. and Kashiwagi, H., 'CAutoCSD - Evolutionary search and optimisation enabled computer automated control system design', International Journal of Automation and Computing, vol. 1, no. 1, pp. 76-88, 2004.

  86. Liu, J., Lim, K. W., Srinivasan, R., Tan, K. C. and Ho, W. J., 'Intelligent alarm management in a petroleum refinery', Hydrocarbon Processing, pp. 47-53, November 2004.

  87. Wang, L. F., Huang, B. and Tan, K. C., 'Fault-tolerant vibration control in a networked and embedded rocket fairing system', IEEE Transactions on Industrial Electronics, vol. 51, no. 6, pp. 1127-1141, 2004.

  88. Tang, H. J., Tan, K. C. and Yi, Z., 'A columnar competitive model for solving combinatorial optimization problems', IEEE Transactions on Neural Networks, vol. 15, no. 6, pp. 1568-1573, 2004.

  89. Tan, K. C. and Tang, H. J., 'New dynamical optimal learning for linear multilayer FNN', IEEE Transactions on Neural Networks, vol. 15, no. 6, pp. 1562-1568, 2004.

  90. Tan, K. C., Wang, L. F. and Lee, T. H., 'FPGA-based autonomous robot navigation via intrinsic evolution', Applied Artificial Intelligence, vol. 18, no. 2, pp. 129-155, 2004.

  91. Wang, L, Jiang, X., Chen, Y. and Tan, K. C., 'A VxD-based automatic blending system using multi-threaded programming', ISA Transactions, vol. 43, pp. 99-109, 2004.

  92. Tan, K. C., Tang, H. J. and Yi, Z., 'Global exponential stability of discrete-time neural networks for constrained quadratic optimization', NeuroComputing, vol. 56, pp. 399-406, 2004.

  93. Tan, K. C., Wang, L. F., Lee, T. H. and Prahlad, V., 'Evolvable hardware in evolutionary robotics', Autonomous Robots, vol. 16, issue 1, pp. 5-21, 2004.

  94. Tan, K. C., Tay, A. and Cai, J., 'Design and implementation of a distributed evolutionary computing software', IEEE Transactions on Systems, Man and Cybernetics: Part C (Applications and Reviews), vol. 33, issue 3, pp. 325-338, 2003.

  95. Lee, L. H., Tan, K. C., Ou, K. and Chew, Y. H., 'Vehicle Capacity Planning System (VCPS) : A case study on vehicle routing problem with time windows', IEEE Transactions on Systems, Man and Cybernetics: Part A (Systems and Humans), vol. 33, issue 2, pp. 169-178, 2003.

  96. Tan, K. C., Khor, E. F., Lee, T. H., and Yang, Y. J., 'A tabu-based exploratory evolutionary algorithm for multiobjective optimization', Artificial Intelligence Review, vol. 19, issue 3, pp. 231-260, 2003.

  97. Liu, J., Lim, K. W., Ho, W. K., Tan, K. C., Srinivasan, R. and Tay, A., 'The intelligent alarm management system', IEEE Software, vol. 20, no. 2, pp. 66-71, 2003.

  98. Tan, K. C., Yu, Q., Heng, C. M. and Lee T. H., 'Evolutionary computing for knowledge discovery in medical diagnosis', Artificial Intelligence in Medicine, vol. 27, no. 2, pp. 129-154, 2003.

  99. Tan, K. C., Khor, E. F., Lee, T. H. and Sathikannan, R., 'An evolutionary algorithm with advanced goal and priority specification for multi-objective optimization', Journal of Artificial Intelligence Research, vol. 18, pp. 183-215, 2003.

  100. Tan, K. C. and Li, Y., 'Grey-box model identification via evolutionary computing', Control Engineering Practice, vol. 10, issue 7, pp. 673-684, July 2002.

  101. Tan, K. C., Lee, T. H. and Khor, E. F., 'Evolutionary algorithms for multi-objective optimization: performance assessments and comparisons', Artificial Intelligence Review, vol. 17, no. 4, pp. 251-290, 2002.

  102. Tan, K. C., Khor, E. F., Cai, J., Heng, C. M. and Lee, T. H., 'Automating the drug scheduling of cancer chemotherapy via evolutionary computation', Artificial Intelligence in Medicine, vol. 25, pp. 169-185, 2002.

  103. Tan, K. C., Lee, T. H., Khor, E. F. and Ang, D. C., 'Design and real-time implementation of a multivariable gyro-mirror line-of-sight stabilization platform', Fuzzy Sets and Systems, vol. 128, issue 1, pp. 81-93. 2002.

  104. Khor, E. F., Tan, K. C. and Lee, T. H., 'Learning the search range for evolutionary optimization in dynamic environments', Knowledge and Information Systems: An International Journal, vol. 4, pp. 228-255, 2002.

  105. Tan, K. C., Lee, L. H. and Ou. K., 'Artificial intelligence heuristics in solving vehicle routing problems with time window constraints', Engineering Applications of Artificial Intelligence, vol. 14, pp. 825-837, 2001.

  106. Tan, K. C. and Li, Y., 'Performance-based control system design automation via evolutionary optimization', Engineering Applications of Artificial Intelligence, vol. 14, pp. 473-486, 2001.

  107. Tan, K. C., Lee, T. H. and Khor, E. F., 'Evolutionary algorithm with dynamic population size and local exploration for multiobjective optimization', IEEE Transactions on Evolutionary Computation, vol. 5, no. 6, pp. 565-588, 2001.

  108. Tan, K. C., Lee, L. H., Zhu, Q. L. and Ou, K., 'Heuristic methods for vehicle routing problem with time windows', Artificial Intelligence in Engineering, vol. 15, no. 3, pp. 281-295, 2001.

  109. Tan, K. C., Lee, T. H. and  Khor, E. F., 'Automatic design of multivariable QFT control system via evolutionary computation', Proc. I. Mech. E., Part I, vol. 215, pp. 245-259, 2001.

  110. Tan, K. C., Lee, T. H., Khoo, D. and Khor, E. F., 'A multi-objective evolutionary algorithm toolbox for computer-aided multi-objective optimization', IEEE Transactions on Systems, Man and Cybernetics: Part B (Cybernetics), vol. 31, no. 4, pp. 537-556, 2001.

  111. Tan, K. C., Lee, T. H., Rui, X., Wang, L. F. and Liu, X., 'Robot navigation system using intrinsic evolvable hardware', Journal of Harbin Institute of Technology, vol. 8, no. 3, pp. 261-266, 2001 (Included in EI Compendex).

  112. Lim, K. W., Liu, J., Zhou, J. R., Li, R., Ling, P., Ho, W. K., Tan, K. C., Raj, S., Tay, A. and Liu, B., 'Intelligent alarm management system', IES Magazine, MITA [P] No. 227/01/2001, pp. 28-31, 2001.

  113. Tan, K. C., Lee, L. H. and Ou K., 'Hybrid genetic algorithms in solving vehicle routing problems with time window constraints', Asia-Pacific Journal of Operational Research, vol. 18, no. 1, pp. 121-130, 2001.

  114. Ko, C. C., Chen, B. M., Chen, J., Zhuang, Y. and Kay Chen Tan, 'Development of a Web-based laboratory for control experiments on a coupled tank apparatus', IEEE Transactions on Education, vol. 44, no. 1, pp. 76-86, 2001.

  115. Tan, K. K., Tan, K. C. and Tang, K. Z., 'Evolutionary tuning of a fuzzy dispatching system for automated guided vehicles', IEEE Transactions on Systems, Man and Cybernetics: Part B (Cybernetics), vol. 30, no. 4, pp. 632 -636, 2000.

  116. Tan, K. C. and Li, Y., 'Evolutionary L-inf identification and model reduction for robust control', Proc. I. Mech. E., Part I, vol. 214, pp. 231-237, 2000.

  117. Li, Y. and Tan, K. C., 'Linear approximation model network and its formation via evolutionary computation', Academy Proc. in Engineering Sciences (SADHANA), vol. 25, part 2, pp. 97-110, 2000.

  118. Tan, K. C., 'Evolutionary robust servo control system design with time-domain constraints', Control and Intelligent Systems, vol. 27, no. 3, pp. 103-107, 1999.

  119. Tan, K. C. and Li, Y., 'Evolutionary system identification in the time-domain', Proc. I. Mech. E., Part I, Special Issue on Applications of Genetic Algorithms to Engineering Systems, vol. 211, no. 4, pp. 319-323, 1997.

  120. Tan, K. C., Gong, M. R. and Li, Y., 'Evolutionary linearisation in the frequency domain', Electronics Letters, vol. 32, no. 1, pp. 74-76, 1996.
     


Book Reviews
 

  1. Title reviewed: The Design of Innovation: Lessons from and for Competent Genetic Algorithms, by Goldberg, D. E., Kluwer Academic Publishers, 2002.
    Published in Genetic Programming and Evolvable Machines, vol. 5, pp. 107-110, 2004.
     


Chapter in Books
 

  1. Tan, K. C., Lee, T. H. and Wang, M. L., 'Computational intelligence approach to object recognition', Intelligent Control Systems Using Soft Computing Methodologies, M. Jamshidi and A. Zilouchian (Eds.), CRC Press, pp. 351-364, 2001.

  2. Li, Y., Tan, K. C. and Gong, M. R., 'Global structure evolution and local parameter learning for control system model reductions', Evolutionary Algorithms in Engineering Applications, D. Dasgupta and Z. Michalewicz (Eds.), Springer Verlag, pp. 345-360, 1997.

  3. Tay, A. E. B., Tan, K. C. and Cai, J., 'Distributed evolutionary strategy for searching Oligo sets of yeast genome', Recent Advances in Simulated Evolution and Learning, K. C. Tan, M. H. Lim, X. Yao and L. P. Wang (Eds.), World Scientific, pp. 789-802, 2004.

  4. Khor, E. F., Tan, K. C. and Yang, Y. J., 'An evolutionary algorithm with Tabu restriction and heuristic reasoning for multiobjective optimization', Knowledge Incorporation in Evolutionary Computation, Yaochu Jin (Ed.), Springer, pp. 255-277, 2004.

  5. Yu, Q., Tan, K. C. and Lee, T. H., 'An evolutionary algorithm for rules discovery in data mining', Evolutionary Computation in Data Mining, A. Ghosh and L. C. Jain (Eds.), Physica-Verlag, Germany, pp. 101-123, 2005.

  6. Tan, K. C. and Li, Y., 'Automating control system design via a multiobjective evolutionary algorithm', Applications of Multi-Objective Evolutionary Algorithms, Carlos A. Coello Coello and Gary B. Lamont (Eds.), World Scientific, pp. 155-176, 2005.

  7. Ang, J. H., Goh, C. K., Teoh, E. J. and Tan, K. C., 'Designing recurrent neural network-based controller for gyro-mirror line-of-sight stabilization system using an artificial immune algorithm', Advances in Evolutionary Computing for System Design, L.C. Jain and D. Srinivasan (Eds.), Springer-Verlag, pp. 187-208, 2007.

  8. Goh, C. K., Lim, W. L., Chew, Y. H., and Tan, K. C., 'A multiobjective evolutionary algorithm for channel routing problems', Evolutionary Scheduling, K. Dahal, K. C. Tan and P. Cowling (Eds.), Springer-Verlag, pp. 405-436, 2007.

  9. Goh, C. K., and Tan, K. C., 'Evolving the tradeoffs between Pareto-optimality and robustness in multiobjective evolutionary algorithms', Evolutionary Computation in Dynamic and Uncertain Environments, S. Yang, Y. S. Ong and Y. Jin (Eds.), pp. 457-478, 2007.

  10. Guan, S-U., Ang, J. H., Tan, K. C. and Mamun, A. A. 'Incremental Neural Network Training for Medical Diagnosis', Encyclopedia of Healthcare Information Systems (3 volumes), Idea Group Inc., N. Wickramasinghe and E. Geisler (Eds.), Vol. II, pp. 720-731, 2008.

  11. Cheong, C. Y., and Tan, K. C., 'A multi-objective multi-colony ant algorithm for solving the berth allocation problem', Advances of Computational Intelligence in Industrial Systems, Y. Liu, A. Sun, H. T. Loh, W. F. Lu, and E.-P. Lim (Eds.), Springer-Verlag, pp. 333–350, 2008.

  12. Tan, K. C., Phang, K. P. and Yang, Y. J., 'Feed optimization for fluidized catalytic cracking using a multi-objective evolutionary algorithm', Multi-Objective Optimization: Techniques and Applications in Chemical Engineering, G. P. Rangaiah  (Ed.), World Scientific, pp. 273–295, 2008.

  13. Tan, K. C. and Goh, C. K. , 'Handling uncertainties in evolutionary multi-objective optimization', Computational Intelligence: Research Frontiers, J. M. Zurada, G. G. Yen and J. Wang  (Eds.), Springer-Verlag, pp. 262–292, 2008.

  14. Cheong, C. Y. and Tan, K. C., 'Hybridizing problem-specific operators with metaheuristics for solving the multi-objective vehicle routing problem with stochastic demand', Bio-Inspired Approaches for the Vehicle Routing Problem, F. B. Pereira and J. Tavares (Eds.), Springer-Verlag, pp. 101 – 129, 2009.

  15. Quek, H. Y. Chan, H. H. and Tan, K. C., 'Evolving computer Chinese Chess using guided learning', Biologically-Inspired Optimisation Methods: Parallel Algorithms, Systems and Applications, A. Lewis, S. Mostaghim and M. Randall, (Eds.), Springer-Verlag, pp. 325-354, 2009.

  16. Su, Nguyen, Zhang, Mengjie, Johnston, Mark, Tan, K. C., "A MO-GPHH Approach to Dynamic Job Shop Scheduling Problems". Book Chapter on Automated Scheduling, Studies in Computational Intelligence, Springer, pp. 251-282, 2013.

  17. Shim, V. A. and Tan, K. C., “Probabilistic graphical approaches for learning, modeling, and sampling in evolutionary multi-objective optimization”, IEEE WCCI 2012, LNCS 7311, J. Liu et al. (Eds.), Springer, Heidelberg, pp. 122-144, 2012.

 


International Conference Papers
 

  1. Goh, S. K., Abbass H. A., and Tan K. C. (2014). Artifact removal from eeg using a multi-objective independent component analysis model. The International Conference on Neural Information Processing, Sarawak, Malaysia, November 3-6, accepted.

  2. X. Qiu, J. X. Xu, K. C. Tan (2014). A Novel Differential Evolution (DE) Algorithm for Multi-objective Optimization, IEEE Congress on Evolutionary Computation (CEC), Beijing, China, July 6-11, 2014, pp. 2391-2396, 2014.

  3. Q. Yu, H. Tang, and K. C. Tan (2014), A New Learning Rule for Classification of Spatiotemporal Spike Patterns, International Joint Conference on Neural Networks (IJCNN), Beijing, China, July 6-11, 2014, pp. 3853-3858, 2014.

  4. S. B. Gee and K. C. Tan (2014). Diversity Preservation with Hybrid Recombination for Evolutionary Multiobjective Optimization. IEEE Congress on Evolutionary Computation (CEC), Beijing, China, July 6-11, 2014, pp. 1172-1178, 2014.

  5. Su, Nguyen, Zhang, Mengjie, Johnston, Mark, Tan, K. C. (2013). Learning reusable initial populations for multi-objective order acceptance and scheduling problems with genetic programming. EuroGP’13: Proceedings of the 16th European Conference on Genetic Programming, pp. 157-168, 2013.

  6. A. Muruganantham, Y. Zhao, S. B. Gee, X. Qiu, K. C. Tan (2013). Dynamic multiobjective optimization using evolutionary algorithm with Kalman filter. Asia Pacific Symposium on Intelligent and Evolutionary Systems, Seoul, Korea, November 7-9, pp 66-75, 2013.

  7. Y. S. Liau, K. C. Tan, J. Hu, X. Qiu, S. B. Gee (2013). Machine learning enhanced multi-objective evolutionary algorithm based on decomposition. The International Conference on Intelligent Data Engineering And Automated Learning 2013, Hefei, Anhui, China, October 20-23, pp. 553-560, 2013.

  8. S.B. Gee, X. Qiu, and K. C. Tan (2013). A novel diversity maintenance scheme for evolutionary multi-objective optimization. The International Conference on Intelligent Data Engineering And Automated Learning 2013,  Hefei, Anhui, China, October 20-23, pp. 270-277, 2013.

  9. Jun Hu, Huajin Tang, and K. C. Tan (2013). A hierarchical organized memory model using spiking neurons. IEEE International Joint Conference on Neural Networks, Dallas, Texas, USA, August 4-9, pp. 1307-1312, 2013.

  10. Huajin Tang, Bo Tian, Vui Ann Shim, and  K. C. Tan (2013). A neuro-cognitive system and its application in robotics. 10th International Conference on Control and Automation, IEEE Press, Hangzhou, June 12-14, pp. 406 - 411, 2013.

  11. Jun Hu, Huajin Tang, and K. C. Tan (2013). Spiking-timing based pattern recognition with real-world visual stimuli. 2013 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), IEEE Press, pp. 23 – 28, Singapore, April 16-19, 2013.

  12. Qiang Yu, K. C. Tan, and Huajin Tang (2012). Pattern recognition computation in a spiking neural network with temporal encoding and learning. Proceedings of 2012 International Joint Conference on Neural Networks, IEEE Press, pp. 466 - 472, 2012.

  13. Huajin Tang, Qiang Yu, and K. C. Tan (2012). Learning Real-World Stimuli by Single-Spike Coding and Tempotron Rule. Proceedings of 2012 International Joint Conference on Neural Networks, IEEE Press, pp. 47-52, 2012.

  14. V. A. Shim, K. C. Tan, and K. K. Tan (2012). A Hybrid Adaptive Evolutionary Algorithm in the Domination-based and Decomposition-based Frameworks of Multi-objective Optimization. Proceedings of 2012 IEEE Congress on Evolutionary Computation, IEEE Press, pp. 1142-1149, 2012.

  15. V. A. Shim, K. C. Tan, and K. K. Tan (2012). A Hybrid Estimation of Distribution Algorithm for Solving the Multi-objective Multiple Traveling Salesman Problem. Proceedings of 2012 IEEE Congress on Evolutionary Computation, IEEE Press, pp., pp. 771-778. 2012.

  16. Su Nguyen, Mengjie Zhang, Mark Johnston and K. C. Tan (2012). A Coevolution Genetic Programming Method to Evolve Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling Problems. Proceedings of 2012 IEEE Congress on Evolutionary Computation, IEEE Press, 2012, pp. 3261-3268, 2012.

  17. Su Nguyen, Mengjie Zhang, Mark Johnston, K. C. Tan (2012). Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming. Proceedings of the 15th European Conference on Genetic Programming. Lecture Notes in Computer Science. vol. 7244, Springer, pp. 121-133, 2012.

  18. V. A. Shim, K. C. Tan and J. Y. Chia (2010). Probabilistic based evolutionary optimizers in bi-objective traveling salesman problem. Eighth International Conference on Simulated Evolution and Learning, Kanpur, India, Dec 1-4, pp. 588-592.

  19. H. J. Tang, V. A. Shim, K. C. Tan and J. Y. Chia (2010). Restricted Boltzmann machine based algorithm for multi-objective optimization, Proc. of 2010 IEEE Congress on Evolutionary Computation, Barcelona, Spain, July 18-23, pp. 3958-3965.

  20. V. A. Shim, K. C. Tan and J. Y. Chia (2010). An investigation on sampling technique for multi-objective restricted Boltzmann machine, Proc. of 2010 IEEE Congress on Evolutionary Computation, Barcelona, Spain, July 18-23, pp. 1081-1088.

  21. C. Y. Cheong, K. C. Tan and D. K. Liu (2009). Solving the berth allocation problem with service priority via multi-objective optimization, Proc. of IEEE Symposium on Computational Intelligence in Scheduling, Nashville, Tennessee, USA, 30 Mar - 2 Apr, pp. 95-102.

  22. H. C. Tang, C. H. Tan, K. C. Tan and A Tay (2009). Neural network versus behavior based approach in simulated car racing game. Proc. of IEEE Workshop on Evolving and Self-Developing Intelligent Systems, Nashville, Tennessee, USA, 30 Mar - 2 Apr, pp. 58-65.

  23. K. L. Tan, C. H. Tan, K. C. Tan and A Tay (2009). Adaptive game AI for Gomoku, Proc. of the Fourth International Conference on Autonomous Robots and Agents, Wellington, New Zealand, 10 - 12 Feb 2009, pp. 507-512.

  24. H. Ang, K. C. Tan and A. A. Mamun (2008). A memetic evolutionary search algorithm with variable length representation for rule extraction, Proc. of IEEE International Conference on Systems, Man and Cybernetics, Singapore, October 12-15, pp. 535-540.

  25. H. Y. Quek, K. C. Tan and A. Tay (2008). A discrete particle swarm optimization approach for the global airline crew scheduling problem, Proc. of the Joint 4th International Conference on Soft Computing and Intelligent Systems and the 9th International Symposium on advanced Intelligent Systems, Nagoya, Japan, September 17-21, pp. 838-843.

  26. C. K. Goh, Y. S. Ong, and K. C. Tan (2008). An investigation on evolutionary gradient search for multi-objective optimization, Proc. of 2008 IEEE Congress on Evolutionary Computation, Hong Kong, June 1-6, pp. 3742-3747.

  27. C. H. Tan, J. H. Ang, K. C. Tan and A. Tay (2008). Online adaptive controller for simulated car racing, Proc. of 2008 IEEE Congress on Evolutionary Computation, Hong Kong, June 1-6, pp. 2239-2245.

  28. J. H. Ang, E. J. Teoh, C. H. Tan, K. C. Goh and K. C. Tan (2008). Dimension reduction using evolutionary support vector machines, Proc. of IEEE Congress on Evolutionary Computation, Hong Kong, June 1-6, pp. 3635-3642.

  29. K. C. Tan, C. K. Goh, E. J. Teoh, and D. Liu (2007). A hybrid evolutionary approach for heterogeneous multiprocessor scheduling, The 8th International Conference on Intelligent Technologies, Australia, December 12-14, pp. 261-268.

  30. N. M. Kwok, M. Carmichael, Q. P. Ha, K. C. Tan (2007). Statistical decision based gray-level image feature matching, The 8th International Conference on Intelligent Technologies, Australia, December 12-14, pp. 269-274.

  31. C. K. Goh, K. C. Tan, A. Tay (2007). A competitive-cooperation coevolutionary paradigm for multiobjective optimization, Proc. IEEE Multi-conference on Systems and Control, Singapore, October 1-3, pp. 255-260.

  32. C. Y. Cheong, C. J. Lin, K. C. Tan and D. K. Liu (2007). A multi-objective evolutionary algorithm for berth allocation in a container port, IEEE Congress on Evolutionary Computation 2007, Singapore, September 25-28, pp. 927-934.

  33. C. H. Tan, C. K. Goh, K. C. Tan and A. Tay (2007). A cooperative coevolutionary algorithm for multiobjective particle swarm optimization, IEEE Congress on Evolutionary Computation 2007, Singapore, September 25-28, pp. 3180-3186.

  34. D. S. Liu, K. C. Tan and W. K. Ho (2007). A distributed co-evolutionary particle swarm optimization algorithm, Proc. of IEEE Congress on Evolutionary Computation 2007, Singapore, September 25-28, pp. 3831-3838.

  35. C. K. Goh, K. C. Tan, C. Y. Cheong and Y. S. Ong (2007). Noise induced features in robust multiobjective optimization problems, Proc. of IEEE Congress on Evolutionary Computation, Singapore, September 25-28, pp. 568-575.

  36. L. F. Wang, C. Singh, and K. C. Tan (2007). Reliability evaluation of power-generating systems including time-dependent sources based on binary particle swarm optimization, Proc. of IEEE Congress on Evolutionary Computation, Singapore, September 25-28, pp. 3346-3352.

  37. N. M. Kwok, Q. P. Ha, D. K. Liu, G. Fang and K. C. Tan (2007). Efficient particle swarm optimization: a termination condition based on the decision-making approach, Proc. of IEEE Congress on Evolutionary Computation, Singapore, September 25-28, pp. 3353-3360.

  38. C. Y. Cheong, K. C. Tan and B. Veeravalli (2007). Solving the exam timetabling problem via a multi-objective evolutionary algorithm – a more general approach, IEEE Symposium on Computational Intelligence in Scheduling 2007, Honolulu, HI, USA, April 1-5, pp. 165-172.

  39. C. S. Ong, H. Y. Quek, K. C. Tan and A. Tay (2007). Discovering chinese chess strategies through coevolutionary, IEEE Symposium on Computational Intelligence and Games, 2007, Honolulu, HI, USA, April 1-5, pp. 360-367.

  40. S. C. Chiam, K. C. Tan and A. Al Mamun (2007). Molecular dynamics optimizer, Proc. 4th International Conference on Evolutionary Multi-Criterion Optimization, Matsushima, Japan, March 5-8, pp. 302-316.

  41. S. C. Chiam, C. K. Goh and K. C. Tan (2007). Adequacy of empirical performance assessment for multiobjective evolutionary optimizer, Proc. 4th International Conference on Evolutionary Multi-Criterion Optimization, Matsushima, Japan, March 5-8, pp. 893-907.

  42. S. C. Chiam, K. C. Tan and A. Al Mamun (2007). Multiobjective evolutionary neural networks for time series forecasting, Proc. 4th International Conference on Evolutionary Multi-Criterion Optimization, Matsushima, Japan, March 5-8, pp. 346-360.

  43. K. C. Tan, C. K. Goh, J. H. Ang, E. J. Teoh (2006). Designing recurrent neural network-based controller for gyro-mirror line-of-sight stabilisation system using an artificial immune algorithm, The Third International Conference on Autonomous Robots and Agents, Palmerston North, New Zealand, 12-14 December, pp. 255-260.

  44. N. M. Kwok, D. K. Liu, K. C. Tan and Q. P. Ha (2006). An empirical study on the settings of control coefficients in particle swarm optimization, Proc. IEEE Congress on Evolutionary Computation, Vancouver, BC, Canada, July 16-21, pp. 823-830.

  45. C. K. Goh and K. C. Tan (2006). Noise handling in evolutionary multi-objective optimization, Proc. of IEEE Congress on Evolutionary Computation, Vancouver, BC, Canada, July 16-21, pp. 1354-1361.

  46. C. K. Goh, H. Y. Quek, K. C. Tan and H. A. Abbass (2006). Modeling civil violence: an evolutionary multi-agent, game theoretic approach, Proc. of IEEE Congress on Evolutionary Computation, Vancouver, BC, Canada, July 16-21, pp. 1624-1631.

  47. C. Y. Cheong, K. C. Tan, D. K. Liu and J. X. Xu (2006). A multi-objective evolutionary algorithm for solving vehicle routing problem with stochastic demand, Proc. IEEE Congress on Evolutionary Computation, Vancouver, BC, Canada, July 16-21, pp. 1370-1377.

  48. D. S. Liu, K. C. Tan, C. K. Goh and W. K. Ho (2006). On solving multiobjective bin packing problems using particle swarm optimization, Proc. IEEE Congress on Evolutionary Computation, Vancouver, BC, Canada, July 16-21, pp. 2095-2102.

  49. E. J. Teoh, H. J. Tang and K. C Tan (2006). A columnar competitive model with simulated annealing for solving combinatorial optimization problems, Proc. IEEE International Joint Conference on Neural Networks, Vancouver, BC, Canada, July 16-21, pp. 3254-3259.

  50. C. K. Goh, S. C. Chiam and K. C. Tan (2006). An Investigation on noisy environments in evolutionary multi-objective optimization, The 2nd IEEE International Conference on Cybernetics & Intelligent Systems, Bangkok, Thailand, June 7-9, pp. 589-595.

  51. S. C. Chiam, C. K. Goh and K. C. Tan (2006). Issues of binary representation in evolutionary algorithms, The 2nd IEEE International Conference on Cybernetics & Intelligent Systems, Bangkok, Thailand, June 7-9, 581-588.

  52. E. J. Teoh, C. Xiang and K. C. Tan (2006). Estimating the number of hidden neurons in a feedforward network using the singular value decomposition, Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I: pp. 858-865.

  53. E.J. Teoh, C. Xiang, K.C. Tan (2006). A fast learning algorithm based on layered Hessian approximations and the pseudoinverse, Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I: pp. 530-536.

  54. Teoh, E. J., Chiam, S. C., Goh, C. K. and Tan, K. C. (2005). Adapting evolutionary dynamics of variation for multi-objective optimization, IEEE Congress on Evolutionary Computation 2005, Edinburgh, UK, 2-5 September, vol. 2, pp. 1290-1297.

  55. Goh, C. K., Quek, H. Y., Teoh, E. J. and Tan, K. C. (2005). Evolution and incremental learning in the iterative prisoner’s dilemma, IEEE Congress on Evolutionary Computation 2005, Edinburgh, UK, 2-5 September, vol. 3, pp. 2629-2636.

  56. Tan, K. C. (2004). An interactive learning tool for evolutionary computation, The First International Conference on Teaching and Learning in Higher Education, NUS, Singapore, 1-3 December 2004, pp. 426-431.

  57. Tan, K. C., Lee, T. H., Yang, Y. J. and Liu, D. S. (2004). A cooperative coevolutionary algorithm for multiobjective optimization, IEEE International Conference on Systems, Man and Cybernetics, The Hague, The Netherlands, October 10-13 2004, pp. 1926-1931.

  58. Tang, H. J., Tan, K. C. and Lee, T. H. (2004). Dynamical optimal learning for FNN and its applications, IEEE International Conference on Fuzzy Systems, Budapest, Hungary, 26-29 July.

  59. Tan, K. C. and Li, Y. (2004). Evolutionary grey-box modelling for a neutron intensity system, International Conference on Computational Intelligence for Modelling Control and Automation, Gold Coast, Australia, 12-14 July.

  60. Abdullah, A. M., Tan, K. C., Guo, G. X. and Liu, Y. (2004). Digital processing of position error signal in hard disk drive, The 21st IEEE Instrumentation and Measurement Technology Conference, Como, Italy, 18-20 May.

  61. Tan, K. C. and Abdullah, A. M. (2004). Automating the tracking of electrical performance for memory test systems, The 21st IEEE Instrumentation and Measurement Technology Conference, Como, Italy,18-20 May.

  62. Tan, K. C., Peng, W., Lee, T. H. and Cai, J. (2003). Development of a distributed evolutionary computing package, IEEE Congress on Evolutionary Computation 2003, Canberra, Australia, 8-12 December, pp. 77-84.

  63. Tan, K. C., Lee, T. H., Chew, Y. H. and Lee, L. H. (2003). A hybrid multiobjective evolutionary algorithm for solving truck and trailer vehicle routing problems, IEEE Congress on Evolutionary Computation 2003, Canberra, Australia, 8-12 December, pp. 2134-2141.

  64. Tan, K. C., Yang, Y. J., and Lee, T. H. (2003). Designing a distributed cooperative coevolutionary algorithm for multiobjective optimization, IEEE Congress on Evolutionary Computation 2003, Canberra, Australia, 8-12 December, pp. 2513-2520.

  65. Tan, K. C., Yang, Y. J., Goh, C. K., and Lee, T. H. (2003). Enhanced distribution and exploration for multiobjective evolutionary algorithms, IEEE Congress on Evolutionary Computation 2003, Canberra, Australia, 8-12 December, pp. pp 2521-2528.

  66. Tan, K. C., Lee, T. H., Chew, Y. H. and Lee, L. H. (2003). A multiobjective evolutionary algorithm for solving vehicle routing problem with time windows, IEEE International Conference on Systems, Man and Cybernetics 2003, Washington, D. C., USA, 5-8 October, pp. 361-366.

  67. Tang, H. J., Tan, K. C. and Lee, T. H. (2003). Stability analysis of Hopfield neural networks for solving TSP, The Second International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003), Singapore, 15-18 December.

  68. Tan, K. C., Prahlad, V., Lee, L. H. and Chew, Y. H. (2003). A case study on vehicle routing problem with time windows, The First International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), Manila, Philippines.

  69. Tang, H. J., Tan, K. C. and Lee, T. H. (2003). Competitive neural networks for solving combinatorial optimization problems, The Second International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003), Singapore, 15-18 December.

  70. Liu, J., Lim, K. W., Ho, W. K., Tan, K. C., Srinivasan, R., Tay, A., and Xi, Y. X. (2003). On-line fault detection and diagnosis of a refinery process, The Fifth IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Washington D.C., United States, 9-11 June 2003.

  71. Xu, L., Tan, K. C., Vadakkepat, P., and Lee, T. H. (2002). Multi-agents competition and cooperation using fuzzy neural systems, The 4th Asian Control Conference, Singapore, pp. 1326-1331.

  72. Cai, J., Tan, K. C. and Tay, A. (2002). Distributed evolutionary strategies for searching probe set of yeast genome, The 4th Asia-Pacific Conference on Simulated Evolution and Learning, Singapore, pp. 429-433.

  73. Tan, K. C., Tan, K. K., Lee, T. H., Zhao, S., and Chen, Y. J. (2002). Autonomous robot navigation based on fuzzy sensor fusion and reinforcement learning, The 17th IEEE International Symposium on Intelligent Control (ISIC'02), Vancouver, British Columbia, Canada, pp. 182-187.

  74. Tan, K. C., Sengupta, K., Lee, T. H., and Sathikannan, R. (2002). Autonomous registration of disparate spatial data via a multi-objective evolutionary algorithm toolbox, IEEE Congress on Evolutionary Computation 2002, Honolulu, Hawaii, USA, pp. 31-36.

  75. Tan, K. C., Lee, T. H., Cai, J., and Chew, Y. H. (2002). Automating the drug scheduling of cancer chemotherapy via evolutionary computation, IEEE Congress on Evolutionary Computation 2002, Honolulu, Hawaii, USA, pp. 908-913.

  76. Tan, K. C., Chew, C. M., Tan, K. K., Wang, L. F., and Chen, Y. J. (2002). Autonomous robot navigation via intrinsic evolution, IEEE Congress on Evolutionary Computation 2002, Honolulu, Hawaii, USA, pp. 1272-1277.

  77. Tan, K. C., Tay, A., Lee, T. H., and Heng, C. M. (2002). Mining multiple comprehensible classification rules using genetic programming, IEEE Congress on Evolutionary Computation 2002, Honolulu, Hawaii, USA, pp. 1302-1307.

  78. Tang, H. J., Tan, K. C., Zhang, Y. (2002). Convergence analysis of discrete time recurrent neural networks for linear variational inequality, IEEE International Joint Conference on Neural Networks 2002, Honolulu, Hawaii, USA, pp. 2470-2475.

  79. Sathikannan, R. and Tan, K. C. (2001). Evolutionary computation for chemical engineering applications, International Conference on Computational Intelligence, Robotics and Autonomous Systems, November 28-30, Singapore, pp. 253-259.

  80. Peng, Y., Tan, K. C. and Prahlad, V. (2001). On-line control system optimization via genetic algorithms, International Conference on Computational Intelligence, Robotics and Autonomous Systems, November 28-30, Singapore, pp. 266-271.

  81. Tan, K. C., Khor, E. F., Heng, C. M. and Lee, T. H. (2001). Exploratory multi-objective evolutionary algorithm: performance study and comparisons, 2001 Genetic and Evolutionary Computation Conference, California, USA, pp. 647-654.

  82. Tan, K. C., Lee, T. H., Khor, E. F., Heng, C. M. and Khoo, D. (2001). Nonlinear constraint handling technique via angular transformation, 2001 Genetic and Evolutionary Computation Conference, California, USA, pp. 655-662.

  83. Tan, K. C., Lee, T. H. and Khor, E. F. (2001). Evolutionary algorithms for multi-objective optimization: performance assessments and comparison, IEEE Congress on Evolutionary Computation 2001, Seoul, Korea, pp. 979-986.

  84. Tan, K. C., Lee, T. H., Khoo, D. and Khor, E. F. (2001). Gene domain constraint handling technique via genetic structure design, IEEE Congress on Evolutionary Computation 2001, Seoul, Korea, pp. 693-703.

  85. Khor, E. F. Tan, K. C. and Lee, T. H. (2001). Multi-objective evolutionary algorithm with non-stationary search space, IEEE Congress on Evolutionary Computation 2001, Seoul, Korea, pp. 527-535.

  86. Lee, T. H., Tan, K. C. and Khor, E. F. (2001). Control system design unification and automation - a way forward in CACSD via evolutionary computation, IEEE Congress on Evolutionary Computation 2001, Seoul, Korea, pp. 152-161.

  87. Tan, K. C., Lee, T. H., Ou,  K. and L. H. Lee. (2001). A messy genetic algorithm for the vehicle routing problem with time window constraints, IEEE Congress on Evolutionary Computation 2001, Seoul, Korea, pp. 679-686.

  88. Liu, J., Li, R., Ling, S. L., Zhou, J. R., Lim, K. W., Srinivasan, R., Tan, K. C., Ho, W. K and Tay, A. (2001). Intelligent alarm management through suppressing nuisance alarms and providing operator advice,  4th IFAC Workshop on On-line Fault Detection and Supervision in the Chemical Process Industries (CHEMFAS-4), Jejudo Island, Korea, pp. 95-100.

  89. Tang, K. Z., Tan, K. K., Silva, C. W. De, Lee, T. H., Tan, K. C., and Soh, C. Y. (2001). Application of vibration sensing in monitoring and control of machine health, Proc. of the 2001 IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics, Italy, pp. 377-382.

  90. Tan, K. C., Lee, T. H., and Khor, E. F. (2001). Incrementing multi-objective evolutionary algorithms: performance studies and comparisons, Springer-Verlag Lecture Notes on Computer Science, no. 1993, The First International Conference on Evolutionary Multi-Criteria Optimization (EMO'01), Zurich, Switzerland, pp. 111-125.

  91. Khor, E. F., Tan, K. C., and Lee, T. H. (2001). Tabu-based exploratory evolutionary algorithm for effective multi-objective optimization, Springer-Verlag Lecture Notes in Computer Science, no. 1993, The First International Conference on Evolutionary Multi-Criteria Optimization (EMO'01), Zurich, Switzerland, pp. 344-358.

  92. Lee, L. H., Tan, K. C., and Ou. K. (2000). Hybrid genetic algorithm in solving vehicle routing problems with time window constraints, Proc. of the 2000 Fall National Conf. of Operations Research Society of Japan, Tokyo, Japan, pp. 158-159.

  93. Khor, E. F. Lu, F. W., Tan, K. C., Lee, T. H., and Tan, W. W. (2000). Design and real-time implementation of a multivariable gyro-mirror line-of-sight stabilization platform, Proc. of the SCI2000/ISAS2000 Conf., Orlando, Florida, U.S.A.

  94. Wang, L. F., Tan, K. C., and Prahlad, V. (2000). Developing Khepera robot applications in a Webots environment, IEEE Proc. of the Eleventh International Symposium on Micromechatronics and Human Science, Nagoya, Japan, pp. 71-76.

  95. Ramakrishnan, V., Zhuang, Y., Hu, S. Y., Chen, J. P., Ko, C. C., Chen, B. M., and Tan, K. C. (2000). Development of a web-based control experiment for a coupled tank apparatus, Proc. of the 2000 American Control Conference, Chicago, Illinois, USA, pp. 4409-4413.

  96. Tan, K. C., Lee, T. H., and Wang, M. L. (2000). Object recognition from multiple sensory data by neural feature extraction and fuzzy structural description, IEEE Int. Conf. on Ind. Elec., Cont. and Inst. (IECON'2000), Nagoya, Japan, pp. 2141-2146.

  97. Khor, E. F., Tan, K. C., Wang, M. L., and Lee, T. H. (2000). Evolutionary algorithm with dynamic population size for multi-objective optimization, Conf. on Simulated Evolution and Learning 2000 (SEAL'2000), Nagoya, Japan, pp. 2768-2773.

  98. Tan, K. C., Li, Y., and Wang, M. L. (2000). Linear approximation model network and its formation via evolutionary computation, Conf. on Simulated Evolution and Learning 2000 (SEAL'2000), Nagoya, Japan, pp. 2774-2779.

  99. Prahlad, V., Tan, K. C., Wang, M. L. (2000). Evolutionary artificial potential field and their application in real-time robot path planning, Congress on Evolutionary Computation 2000, La Jolla, CA, USA, pp. 256-263.

  100. Tan, K. C., Lee, T. H., Khoo, D., Khor, E. F., and Sathikannan, R. (2000). MOEA toolbox for computer-aided multi-objective optimization, Congress on Evolutionary Computation 2000, La Jolla, CA, USA, pp. 38-45.

  101. Prahlad, V., Tan, K. C., and Ying, P. (2000). Evolutionary artificial potential field for real-time robot path planning, Int. Sym. on Autonomous Robots and Agents, Singapore, pp. 16-20.

  102. Tan, K. C., M. L. Wang, V. Prahlad and Tan, K. K. (2000). Novel AI approach to object recognition via part decomposition and feature combination, Int. Sym. on Autonomous Robots and Agents, Singapore, pp. 51-56.

  103. Tan, W. W., Lu, F., Tan, K. C., and Loh, A. P. (2000). Control of a nonlinear pH process using evolutionary algorithm, The Third Asian Control Conference, Shanghai, China, pp. 766-771.

  104. Liu, J., Li, R., Ling, S. L., Lim, K. W., Srinivasan, R. Tan, K. C., Ho, W. K. (2000). An algorithm for reducing repeating nuisance alarms in a refinery plant, The Third Asian Control Conference, Shanghai, China, pp. 13-16.

  105. Li, R., Liu, J., Zhou, J. R., Ling, S. L., Lim, K. W., Ho, W. K., Srinivasan, R. Tan, K. C., (2000). Development of practical solutions for alarm management in a refinery plant, The Third Asian Control Conference, Shanghai, China, pp. 17-20.

  106. Liu,J., Li, R., Ling, S. L., Zhou, J. R., Lim, K. W., Srinivasan, R., Tan, K. C., Ho, W. K. (2000) An intelligent alarm management system in a refinery plant. Chemical and Process Engineering Conference (CPEC), in conjunction with Regional Symposium on Chemical Engineering (RSCE) 2000, Singapore, PDD7.4, 1-8.

  107. Tan, K. C., Sathikannan, R., Tan, W. W., Loh, A. P., and Mamun, A. Al. (2000). Evolutionary design and real-time implementation of a hard disk drive servo control system, Control 2000, Cambridge, UK, Session 8C.

  108. Wang, L. F., Tan, K. C., and Wu, H. X. (2000). A flexible automatic test system for turbine machinery, IEEE Proc. of AUTOTESTCON2000, California, USA, pp. 313-320.

  109. Tan, K. C., Lee, L. H., and Ou, K. (2000). Hybrid genetic algorithm in solving vehicle routing problems with time window constraints, Proc. of the Fifth Conf. of the Asso. of Asian-Pacific Operations Res. Soc. within IFORS, Singapore, pp. 38-02.

  110. Tan, K. C., Lee, T. H. and Khor, E. F. (2000). Automatic design of multivariable QFT control system via evolutionary computation, Springer-Verlag Lecture Notes in Computer Science, no. 1803, EvoWorkshop 2000, UK, pp. 178-194.

  111. Tan, K. C., Lee, T. H. and Khor, E. F., Ou, K. (2000). Control system design unification and automation using an incremented multi-objective evolutionary algorithm, The 19th IASTED Int. Conf. Modeling, Identification and Control, Innsbruck, Austria.

  112. Zhu, K. Q., Tan, K. C., and Lee, L. H. (2000). Heuristics for vehicle routing problem with time windows, The 6th Int'l Sym. on AI & Math., Ft. Lauderdale, Florida, (http://rutcor.rutgers.edu/~amai/acceptedcont.htm).

  113. Tan, K. C., Lee, T. H., Khor, E. F., and Sathikannan, R. (2000). Incremented multi-objective evolutionary design automation of robust tracking thumbprint performances in QFT, Proc. Int. Conf. on Evo. Comp. for Computer, Communication, Control and Power, Chennai, India, pp. 137-142.

  114. Tan, K. K., Tan, K. C., and Tang K. Z. (1999). Vehicle dispatching system based on Taguchi-tuned fuzzy rules, Proc. Thrid Int. ICSC Sym. on Intel. Indus. Auto. IIA'99, Genova, Italy, pp. 675-681.

  115. Li, Y., Feng, W. Y., and Tan, K. C. (1999). Performance based control system design unification - The way forward in CACSD automation, Proc. of the Fifth Chinese Automation Conf., UK.

  116. Tan, K. C., Lee, T. H. and Khor, E. F. (1999). Control system design automation with robust tracking thumbprint performance using a multi-objective evolutionary algorithm, IEEE Int. Conf. Control Appl. and Sys. Design, Hawaii, pp. 498-503.

  117. Tan, K.C., Lee, T.H. and Khor, E.F. (1999). Evolutionary algorithms with goal and priority information for multi-objective optimization, Proc. of the 1999 Congress on Evolutionary Computation, Vol. 1, Washington, D.C, USA, pp. 106-113.

  118. Tan, K.C., Tan, K.K. and Li, Y., (1998). Design of robust linear control via evolutionary computation, Firth Int. Conf. on Control, Automation, Robotics and Vision, Singapore, pp. 1548-1552.

  119. Tan, K.C., Ang, D.C. and Tan, K.K., (1998). Genetic algorithm based fuzzy control of gyro-mirror line-of-sight stabilisation platform, Firth Int. Conf. on Control, Automation, Robotics and Vision, Singapore, pp. 1543-1547.

  120. Tan, K.C., Tan, K. K., Lee, T.H. and Tang, K.Z., (1998). Toward an Intelligent dispatching rules for automated guided vehicles, Third Asia-Pacific Conf. on Control & Measurement, China, pp. 183-187.

  121. Li, Y., Feng, W., Tan, K.C., Zhu, X.K., Guan, X. and Ang, K.H., (1998). PIDeasy and automated generation of optimal PID controllers, Third Asia-Pacific Conf. on Control & Measurement, China, pp. 29-33.

  122. Tan, K.C., Li, Y., Gawthrop, P.J. and Glidle, A., (1997). Evolutionary grey-box modelling for practical systems, Second IEE Int. Conf. on GA in Eng. Syst. Innovations and Appl., Glasgow, UK, pp. 369-375.

  123. Tan, K.C. and Li, Y., (1997). Multi-objective genetic algorithm based time and frequency domain design unification of control systems, IFAC Int. Sym. on Artificial Intelligence in Real-Time Control, Kuala Lumpur, Malaysia, pp. 61-66.

  124. Tan, K.C. and Li, Y., (1996). L-inf identification and model reduction using a learning genetic algorithm, Int. Conf. on Control'96, University of Exeter, UK, pp. 1125-1130.

  125. Li, Y., Tan, K.C. and Marionneau, C. (1996). Direct design of linear control systems from plant I/O data using parallel evolutionary algorithms, Int. Conf. on Control'96, Special Session on Evolutionary Algorithms for Control Engineering, University of Exeter, UK, pp. 680-686.

  126. Tan, K.C., Li, Y., Murray-Smith, D.J. and Sharman, K.C., (1995). System identification and linearisation using genetic algorithms with simulated annealing. First IEE/IEEE Int. Conf. on GA in Eng. Syst. Innovations and Appl., Sheffield, UK, pp. 164-169.

  127. Li, Y., Tan, K.C., Ng, K.C. and Murray-Smith, D.J., (1995). Performance based linear control system design by genetic evolution with simulated annealing, 34th IEEE Conf. Decision and Control, New Orleans, LA, pp. 731-736.

  128. Li, Y., Ng, K.C., Tan, K.C., Gray, G.J., McGookin, E.W., Murray-Smith, D.J. and Sharman, K.C., (1995). Automation of linear and nonlinear control systems design by evolutionary computation, Proc. IFAC Youth Automation Conf., Beijing, China, pp. 53-58.
     


 home.gif (1231 bytes)   Home