Multiobjective job shop scheduling using genetic algorithm with cyclic fitness assignment

Tsung-Che Chiang, Li Chen Fu

研究成果: 書貢獻/報告類型會議貢獻

9 引文 斯高帕斯(Scopus)

摘要

A job shop scheduling problem with total tardiness and the maximum tardiness as objectives is addressed. We solve it by a rule-coded genetic algorithm. Characteristics of three existing fitness assignment mechanisms are identified and then combined through the proposed cyclic fitness assignment mechanism. Experiments are conducted on a public benchmark problem set, and the results show that the proposed algorithm outperforms the existing ones.

原文英語
主出版物標題2006 IEEE Congress on Evolutionary Computation, CEC 2006
頁面3266-3273
頁數8
出版狀態已發佈 - 2006 十二月 1
事件2006 IEEE Congress on Evolutionary Computation, CEC 2006 - Vancouver, BC, 加拿大
持續時間: 2006 七月 162006 七月 21

出版系列

名字2006 IEEE Congress on Evolutionary Computation, CEC 2006

其他

其他2006 IEEE Congress on Evolutionary Computation, CEC 2006
國家加拿大
城市Vancouver, BC
期間06/7/1606/7/21

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Theoretical Computer Science

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  • 引用此

    Chiang, T-C., & Fu, L. C. (2006). Multiobjective job shop scheduling using genetic algorithm with cyclic fitness assignment. 於 2006 IEEE Congress on Evolutionary Computation, CEC 2006 (頁 3266-3273). [1688724] (2006 IEEE Congress on Evolutionary Computation, CEC 2006).