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An Enhanced Differential Evolution Algorithm with Fast Evaluating Strategies for TWT-NFSP with SSTs and RTs

Author

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  • Rong Hu
  • Xing Wu
  • Bin Qian
  • Jian L. Mao
  • Huai P. Jin

Abstract

The no-wait flow-shop scheduling problem with sequence-dependent setup times and release times (i.e., the NFSP with SSTs and RTs) is a typical NP-hard problem. This paper proposes an enhanced differential evolution algorithm with several fast evaluating strategies, namely, DE_FES, to minimize the total weighted tardiness objective (TWT) for the NFSP with SSTs and RTs. In the proposed DE_FES, the DE-based search is adopted to perform global search for obtaining the promising regions or solutions in solution space, and a fast local search combined with three presented strategies is designed to execute exploitation from these obtained regions. Test results and comparisons with two effective meta-heuristics show the effectiveness and robustness of DE_FES.

Suggested Citation

  • Rong Hu & Xing Wu & Bin Qian & Jian L. Mao & Huai P. Jin, 2020. "An Enhanced Differential Evolution Algorithm with Fast Evaluating Strategies for TWT-NFSP with SSTs and RTs," Complexity, Hindawi, vol. 2020, pages 1-11, November.
    • Handle: RePEc:hin:complx:8835359
    DOI: 10.1155/2020/8835359
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