GENACE: an efficient cultural algorithm for solving the flexible job-shop problem. - Nhu Binh Ho; Joc Cing Tay (IEEE Congress on Evolutionary Computation, 2004)

LEGA: an architecture for learning and evolving flexible job-shop schedules. - Nhu Binh Ho; Joc Cing Tay (Congress on Evolutionary Computation, 2005)

Evolving dispatching rules for solving the flexible job-shop problem. - Nhu Binh Ho; Joc Cing Tay (Congress on Evolutionary Computation, 2005)

Using evolutionary computation and local search to solve multi-objective flexible job shop problems. - Nhu Binh Ho; Joc Cing Tay (GECCO, 2007)

An effective architecture for learning and evolving flexible job-shop schedules. - Nhu Binh Ho; Joc Cing Tay; Edmund Ming-Kit Lai (Eur. J. Oper. Res., 2007)

Learnable evolutionary model for flexible job-shop scheduling - Nhu Binh Ho (2007)

Designing Dispatching Rules to Minimize Total Tardiness. - Joc Cing Tay; Nhu Binh Ho (Evolutionary Scheduling, 2007)

Evolving dispatching rules using genetic programming for solving multi-objective flexible job-shop problems. - Joc Cing Tay; Nhu Binh Ho (Comput. Ind. Eng., 2008)

Solving Multiple-Objective Flexible Job Shop Problems by Evolution and Local Search. - Nhu Binh Ho; Joc Cing Tay (IEEE Trans. Syst. Man Cybern. Part C, 2008)