Integrated scheduling using genetic algorithm with quasi-random sequences

Azuma Okamoto, Mitsuo Gen and Mitsumasa Sugawara

International Journal of Manufacturing Technology and Management, 2009, vol. 16, issue 1/2, 147-165

Abstract: This paper deals with an integrated scheduling which combines manufacturing and transportation. We propose a Genetic Algorithm (GA) with quasi-random sequences for solving the problem. This GA is based on the multistage operation-based Genetic Algorithm (moGA). Numerical experiments show efficiency of the proposed algorithm for solving large scale scheduling problem.

Keywords: quasi-random sequences; low-dispersion sequences; LDS; multistage operation-based GAs; genetic algorithms; moGA; random key-based representation; integrated scheduling. (search for similar items in EconPapers)
Date: 2009
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