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Integrated scheduling using genetic algorithm with quasi-random sequences

Author

Listed:
  • Azuma Okamoto
  • Mitsuo Gen
  • Mitsumasa Sugawara

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.

Suggested Citation

  • Azuma Okamoto & Mitsuo Gen & Mitsumasa Sugawara, 2009. "Integrated scheduling using genetic algorithm with quasi-random sequences," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 16(1/2), pages 147-165.
    • Handle: RePEc:ids:ijmtma:v:16:y:2009:i:1/2:p:147-165
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