Affiliation:
1. School of Mathematical and Information Sciences Coventry University Coventry CV1 5FB, United Kingdom
2. NTT Communication Science Laboratories 2 Hikaridai, Seika-cho, Soraku-gun Kyoto 619-02 Japan
Abstract
In a previous paper, a simple genetic algorithm (GA) was developed for finding (approximately) the minimum makespan of the n-job, m-machine permutation flowshop sequencing problem (PFSP). The performance of the algorithm was comparable to that of a naive neighborhood search technique and a proven simulated annealing algorithm. However, recent results have demonstrated the superiority of a tabu search method in solving the PFSP. In this paper, we reconsider the implementation of a GA for this problem and show that by taking into account the features of the landscape generated by the operators used, we are able to improve its performance significantly.
Subject
Computational Mathematics
Cited by
169 articles.
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