Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications

Lin Lin, Mitsuo Gen

doi:10.1080/00207543.2018.1437288

Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications

DOI Web Site 被引用文献1件参考文献156件オープンアクセス

Lin Lin

DUT-RU Inter. School of Information Science & Engineering, Dalian University of Technology
Mitsuo Gen

Fuzzy Logic Systems Institute

書誌事項

公開日: 2018-01-17

資源種別: journal article

DOI

10.1080/00207543.2018.1437288

公開者: Informa UK Limited

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説明

Evolutionary Algorithms (EAs) has attracted significantly attention with respect to complexity scheduling problems, which is referred to evolutionary scheduling. However, EAs differ in the implemen...

収録刊行物

International Journal of Production Research

International Journal of Production Research 56 (1-2), 193-223, 2018-01-17

Informa UK Limited

Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications

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Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications

書誌事項

この論文をさがす

説明

収録刊行物

被引用文献 (1)*注記

参考文献 (156)*注記

関連プロジェクト

詳細情報 詳細情報について

書き出し

問題の指摘

詳細情報詳細情報について