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Nhu Binh Ho
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2000 – 2009
- 2008
- [j3]Joc Cing Tay, Nhu Binh Ho:
Evolving dispatching rules using genetic programming for solving multi-objective flexible job-shop problems. Comput. Ind. Eng. 54(3): 453-473 (2008) - [j2]Nhu Binh Ho, Joc Cing Tay:
Solving Multiple-Objective Flexible Job Shop Problems by Evolution and Local Search. IEEE Trans. Syst. Man Cybern. Part C 38(5): 674-685 (2008) - 2007
- [b1]Nhu Binh Ho:
Learnable evolutionary model for flexible job-shop scheduling. Nanyang Technological University, Singapore, 2007 - [j1]Nhu Binh Ho, Joc Cing Tay, Edmund Ming-Kit Lai:
An effective architecture for learning and evolving flexible job-shop schedules. Eur. J. Oper. Res. 179(2): 316-333 (2007) - [c4]Nhu Binh Ho, Joc Cing Tay:
Using evolutionary computation and local search to solve multi-objective flexible job shop problems. GECCO 2007: 821-828 - [p1]Joc Cing Tay, Nhu Binh Ho:
Designing Dispatching Rules to Minimize Total Tardiness. Evolutionary Scheduling 2007: 101-124 - 2005
- [c3]Nhu Binh Ho, Joc Cing Tay:
LEGA: an architecture for learning and evolving flexible job-shop schedules. Congress on Evolutionary Computation 2005: 1380-1387 - [c2]Nhu Binh Ho, Joc Cing Tay:
Evolving dispatching rules for solving the flexible job-shop problem. Congress on Evolutionary Computation 2005: 2848-2855 - 2004
- [c1]Nhu Binh Ho, Joc Cing Tay:
GENACE: an efficient cultural algorithm for solving the flexible job-shop problem. IEEE Congress on Evolutionary Computation 2004: 1759-1766

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