An Enhanced Differential Evolution Algorithm with Fast Evaluating Strategies for TWT-NFSP with SSTs and RTs
Rong Hu,
Xing Wu,
Bin Qian,
Jian L. Mao and
Huai P. Jin
Complexity, 2020, vol. 2020, 1-11
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.
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:8835359
DOI: 10.1155/2020/8835359
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