| 2008 |
|---|
| 13 | EE | Joc Cing Tay,
Cheun Hou Tng,
Chee Siong Chan:
Environmental effects on the coevolution of pursuit and evasion strategies.
Genetic Programming and Evolvable Machines 9(1): 5-37 (2008) |
| 2007 |
|---|
| 12 | EE | Nhu Binh Ho,
Joc Cing Tay:
Using evolutionary computation and local search to solve multi-objective flexible job shop problems.
GECCO 2007: 821-828 |
| 11 | EE | Zaiyi Guo,
Joc Cing Tay:
A Hybrid Agent-Based Model of Chemotaxis.
International Conference on Computational Science (1) 2007: 119-127 |
| 10 | EE | Joc Cing Tay,
Nhu Binh Ho:
Designing Dispatching Rules to Minimize Total Tardiness.
Evolutionary Scheduling 2007: 101-124 |
| 9 | EE | Nhu Binh Ho,
Joc Cing Tay,
Edmund Ming-Kit Lai:
An effective architecture for learning and evolving flexible job-shop schedules.
European Journal of Operational Research 179(2): 316-333 (2007) |
| 2006 |
|---|
| 8 | EE | Philip Tan,
Joc Cing Tay:
Evolving boolean networks to find intervention points in dengue pathogenesis.
GECCO 2006: 307-308 |
| 7 | EE | Syhlin Kuah,
Joc Cing Tay:
Combining simplex with niche-based evolutionary computation for job-shop scheduling.
GECCO 2006: 583-590 |
| 2005 |
|---|
| 6 | EE | Nhu Binh Ho,
Joc Cing Tay:
LEGA: an architecture for learning and evolving flexible job-shop schedules.
Congress on Evolutionary Computation 2005: 1380-1387 |
| 5 | EE | Nhu Binh Ho,
Joc Cing Tay:
Evolving dispatching rules for solving the flexible job-shop problem.
Congress on Evolutionary Computation 2005: 2848-2855 |
| 4 | EE | Zaiyi Guo,
Hann Kwang Han,
Joc Cing Tay:
Sufficiency verification of HIV-1 pathogenesis based on multi-agent simulation.
GECCO 2005: 305-312 |
| 3 | EE | Zaiyi Guo,
Joc Cing Tay:
A Comparative Study on Modeling Strategies for Immune System Dynamics Under HIV-1 Infection.
ICARIS 2005: 220-233 |
| 2 | EE | Joc Cing Tay,
Atul Jhavar:
CAFISS: a complex adaptive framework for immune system simulation.
SAC 2005: 158-164 |
| 2004 |
|---|
| 1 | EE | Joc Cing Tay,
Djoko Wibowo:
An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules.
GECCO (2) 2004: 210-221 |
