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ORCIDJoc Cing Tay
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2000 – 2009
- 2008
[j6]Zaiyi Guo, Joc Cing Tay:
Multi-timescale event-scheduling in multi-agent immune simulation models. Biosyst. 91(1): 126-145 (2008)- [j5]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) - [j4]Joc Cing Tay, Cheun Hou Tng, Chee Siong Chan:
Environmental effects on the coevolution of pursuit and evasion strategies. Genet. Program. Evolvable Mach. 9(1): 5-37 (2008) - [j3]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) - [c16]Boon Som Ong, Mark Chen
, Vernon Lee, Joc Cing Tay:
An Individual-Based Model of Influenza in Nosocomial Environments. ICCS (1) 2008: 590-599 - [c15]Zaiyi Guo, Joc Cing Tay:
Granularity and the validation of agent-based models. SpringSim 2008: 153-161 - 2007
- [j2]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) - [j1]Hanny Yulius Limanto, Joc Cing Tay, Andrew B. Watkins:
An Immune Systems Approach for Classifying Mobile Phone Usage. Int. J. Data Warehous. Min. 3(2): 54-66 (2007) - [c14]Nhu Binh Ho, Joc Cing Tay:
Using evolutionary computation and local search to solve multi-objective flexible job shop problems. GECCO 2007: 821-828 - [c13]Zaiyi Guo, Joc Cing Tay:
A Hybrid Agent-Based Model of Chemotaxis. International Conference on Computational Science (1) 2007: 119-127 - [p1]Joc Cing Tay, Nhu Binh Ho:
Designing Dispatching Rules to Minimize Total Tardiness. Evolutionary Scheduling 2007: 101-124 - 2006
- [c12]Joc Cing Tay, Philip Tan:
Finding Intervention Points in the Pathogenesis of Dengue Viral Infection. EMBC 2006: 5315-5321 - [c11]Hai Liang Peng, Joc Cing Tay:
The Baldwin effect under spatial isolation and autonomous reproduction. GECCO 2006: 235-236 - [c10]Philip Tan, Joc Cing Tay:
Evolving boolean networks to find intervention points in dengue pathogenesis. GECCO 2006: 307-308 - [c9]Syhlin Kuah, Joc Cing Tay:
Combining simplex with niche-based evolutionary computation for job-shop scheduling. GECCO 2006: 583-590 - 2005
- [c8]Nhu Binh Ho, Joc Cing Tay:
LEGA: an architecture for learning and evolving flexible job-shop schedules. Congress on Evolutionary Computation 2005: 1380-1387 - [c7]Nhu Binh Ho, Joc Cing Tay:
Evolving dispatching rules for solving the flexible job-shop problem. Congress on Evolutionary Computation 2005: 2848-2855 - [c6]Zaiyi Guo, Hann Kwang Han, Joc Cing Tay:
Sufficiency verification of HIV-1 pathogenesis based on multi-agent simulation. GECCO 2005: 305-312 - [c5]Zaiyi Guo, Joc Cing Tay:
A Comparative Study on Modeling Strategies for Immune System Dynamics Under HIV-1 Infection. ICARIS 2005: 220-233 - [c4]Z. X. Ong, Joc Cing Tay, Chee-Keong Kwoh:
Applying the Clonal Selection Principle to Find Flexible Job-Shop Schedules. ICARIS 2005: 442-455 - [c3]Joc Cing Tay, Atul Jhavar:
CAFISS: a complex adaptive framework for immune system simulation. SAC 2005: 158-164 - 2004
- [c2]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 - [c1]Joc Cing Tay, Djoko Wibowo:
An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules. GECCO (2) 2004: 210-221
1990 – 1999
- 1999
- [b1]Joc Cing Tay:
Reason maintenance in constraint satisfaction. Nanyang Technological University, Singapore, 1999
Coauthor Index
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