Institute of High Performance Computing

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People: Vibrant & Dynamic Culture

People

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Computing Science (CS)

Dr. CHEONG Chun Yew

Dr. CHEONG Chun Yew


Research Interests:

     
  • Multi-objective optimization
  • Scheduling
  • Computational intelligence

Qualifications:

     
  • Ph.D., Electrical and Computer Engineering, National University of Singapore, Expected to be conferred in early 2010
  • B.Eng., Electrical and Computer Engineering, National University of Singapore, 2005

Published Journals/ Articles:

Journals

     

    • C. Y. Cheong, K. C. Tan, D. K. Liu, and C. J. Lin, “Multi-objective and prioritized berth allocation in container ports”, Annals of Operations Research, in press.
    • C. Y. Cheong, K. C. Tan, and B. Veeravalli, “A multi-objective evolutionary algorithm for examination timetabling”, Journal of Scheduling, vol. 12, no. 2, pp. 121 – 146, 2009.
    • K. C. Tan, C. Y. Cheong, and C. K. Goh, “Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation”, European Journal of Operational Research, vol. 177, no. 2, pp. 813 – 839, 2007.

Conferences

     

    • C. Y. Cheong, K. C. Tan, and D. K. Liu, “Solving the berth allocation problem with service priority via multi-objective optimization”, in Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Scheduling, CI-Sched 2009, Nashville, TN, USA, pp. 95 – 102, 2009.
    • C. Y. Cheong, C. J. Lin, K. C. Tan, and D. K. Liu, “A multi-objective evolutionary algorithm for berth allocation in a container port”, in Proceedings of the 2007 IEEE Congress on Evolutionary Computation, CEC 2007, pp. 927-934, 2007.
    • C. K. Goh, K. C. Tan, C. Y. Cheong, and Y. S. Ong, “Noise-induced features in robust multi-objective optimization problems”, in Proceedings of the 2007 IEEE Congress on Evolutionary Computation, CEC 2007, pp. 568-575, 2007.
    • C. Y. Cheong, K. C. Tan, and B. Veeravalli, “Solving the exam timetabling problem via a multi-objective evolutionary algorithm – a more general approach”, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, CI-Sched 2007, Honolulu, HI, USA, pp. 165 – 172, 2007.
    • C. Y. Cheong, S. C. Chiam, and C. K. Goh, “Eliminating positional dependency in binary representation via redundancy”, in Proceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007, Honolulu, HI, USA, pp. 251 – 258, 2007.
    • C. Y. Cheong, K. C. Tan, D. K. Liu, and J. X. Xu, “A multiobjective evolutionary algorithm for solving vehicle routing problem with stochastic demand”, in Proceedings of the IEEE Congress on Evolutionary Computation 2006, CEC 2006, Vancouver, Canada, pp. 5519 – 5526, 2006.
     

Book Chapter(s)

     

    • C. Y. Cheong and K. C. Tan, “Hybridizing problem-specific operators with meta-heuristics 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.
    • C. Y. Cheong and K. C. Tan, “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.

This page is last updated at: 10-APR-2012