A Genetic Algorithm for Integrated Cell Formation and Layout Decision

نویسندگان

  • Xiaodan Wu
  • Chao-Hsien Chu
  • Yunfeng Wang
  • Weli Yan
چکیده

This paper presents a hierarchical genetic algorithm (GA) to solve the cell formation and layout decisions of cellular manufacturing. The intrinsic features of our proposed GA include using a hierarchical chromosome structure to encode concurrent cell design and layout decisions, developing a new selection scheme to dynamically considering two highly correlated fitness functions, and proposing a group mutation operator to increase the probability of mutation. Our tests show that these modifications are fairly effective in improving solution quality as well as shortening the speed of convergence.

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تاریخ انتشار 2002