A cooperative coevolution algorithm for multi-objective fuzzy distributed hybrid flow shop

作者：

Highlights：

• Multi-objective fuzzy distributed hybrid flow shop scheduling is addressed.

• Estimation of distribution algorithm and iterated greedy are cooperated.

• Probability model and sample mechanism are designed.

• Problem-specific local search is designed.

• Information entropy and diversity are used to design cooperation scheme.

摘要

•Multi-objective fuzzy distributed hybrid flow shop scheduling is addressed.•Estimation of distribution algorithm and iterated greedy are cooperated.•Probability model and sample mechanism are designed.•Problem-specific local search is designed.•Information entropy and diversity are used to design cooperation scheme.

论文关键词：Multi-objective fuzzy distributed hybrid flow shop,Fuzzy processing times and due dates,Robustness,Cooperative coevolution algorithm,Estimation of distribution algorithm,Iterated greedy search

论文评审过程：Received 17 October 2019, Revised 16 December 2019, Accepted 16 January 2020, Available online 20 January 2020, Version of Record 18 May 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.105536