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A fuzzy genetic algorithm for the dynamic cell formation problem

Published: 07 July 2007 Publication History

Abstract

This paper deals with a fuzzy genetic algorithm applied to a manufacturing cell formation problem. We discuss the importance of taking into account the dynamic aspect of the problem that has been poorly studied in the related literature. Using a multi-periodic planning horizon modeling, two strategies are considered: passive and active. The first strategy consists of maintaining the same composition of machines during the overall planning horizon, while the second allows performing a different composition for each period. When the decision maker wants to choose the most adequate strategy for its environment, there is a need to control the proposed evolutionary solving approach, due to the complexity of the model. For that purpose, we propose an off-line fuzzy logic enhancement. The results, using this enhancement, are better than those obtained using the GA alone.

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cover image ACM Conferences
GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation
July 2007
2313 pages
ISBN:9781595936974
DOI:10.1145/1276958

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2007

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Author Tags

  1. dynamic production system
  2. genetic algorithm
  3. linguistic fuzzy modeling
  4. manufacturing cell formation

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GECCO07
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GECCO '07 Paper Acceptance Rate 266 of 577 submissions, 46%;
Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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