Integrated scheduling using genetic algorithm with quasi-random sequences
by Azuma Okamoto, Mitsuo Gen, Mitsumasa Sugawara
International Journal of Manufacturing Technology and Management (IJMTM), Vol. 16, No. 1/2, 2009

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.

Online publication date: Sun, 30-Nov-2008

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