Multi-objective local search combined with NSGA-II for Bi-criteria permutation flow shop scheduling problem

Xin Wei*, Wenqiang Zhang, Wei Weng, Shigeru Fujimura

*この研究の対応する著者

研究成果: Article査読

6 被引用数 (Scopus)

抄録

This paper proposed a multi-objective local search procedure (MOLS). It is combined with NSGA-II for solving bi-criteria PFSP with the objectives of minimizing makespan and maximum tardiness. Utilizing the properties of active blocks for flow shop scheduling problem, neighborhood structures MOINS (multi-objective insertion) and MOEXC (multi-objective exchange) are designed in order to improve efficiency of perturbation. Any perturbation based on MOINS and MOEXC takes effect on different criteria simultaneously. The original idea of MOLS is systematic change neighborhoods in the local search procedure. The search direction of MOLS on an individual is naturally guided by interaction of MOINS and MOEXC. Moreover, there is no need to set parameters in MOLS. The MOLS combined with popular multi-objective evolutionary algorithm NSGA-II (Non-dominated Sorting Genetic Algorithm-II) is called as "NSGA-II- MOLS". To illustrate the efficacy of proposed approach, four different scaled problems are used to test performance of NSGA-II-MOLS. The numerous comparisons show efficacy of NSGA-II-MOLS is better than most of algorithms even with the same number of individual evaluations and parameters setting.

本文言語English
ページ(範囲)32-41+3
ジャーナルIEEJ Transactions on Electronics, Information and Systems
132
1
DOI
出版ステータスPublished - 2012

ASJC Scopus subject areas

  • 電子工学および電気工学

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