Uniform Crossover in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Computers and Industrial Engineering
Hybrid evolutionary algorithm for flowtime minimisation in no-wait flowshop scheduling
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Evolutionary clustering search for flowtime minimization in permutation flow shop
HM'07 Proceedings of the 4th international conference on Hybrid metaheuristics
A new evolutionary clustering search for a no-wait flow shop problem with set-up times
Engineering Applications of Artificial Intelligence
Solving the no-wait flow-shop problem with sequence-dependent set-up times
International Journal of Computer Integrated Manufacturing
Hi-index | 12.05 |
This paper examines the m machine no-wait flow shop problem with setup times of a job separated from its processing time. The performance measure considered is the makespan. The hybrid metaheuristic Evolutionary Cluster Search (ECS_NSL) proposed in Nagano et al. (2012) is extended to solve the scheduling problem. The ECS_NSL performance is evaluated and the results are compared with the best method reported in the literature. Experimental tests show superiority of the ECS_NSL regarding the solution quality.