Multi-objective optimization based on decomposition for flexible job shop scheduling under time-of-use electricity prices

作者：

Highlights：

• Flexible job shop scheduling under time-of-use electricity prices is studied.

• Multi-objective evolutionary algorithm based on decomposition is proposed.

• Adaptive selection strategy and adjustment strategy are designed.

• Effectiveness is demonstrated by numerical comparisons.

摘要

•Flexible job shop scheduling under time-of-use electricity prices is studied.•Multi-objective evolutionary algorithm based on decomposition is proposed.•Adaptive selection strategy and adjustment strategy are designed.•Effectiveness is demonstrated by numerical comparisons.

论文关键词：Flexible job shop scheduling,Time-of-use electricity prices,Multi-objective optimization,Cooperative search,Local intensification,Adaptive selection,Adjustment strategy

论文评审过程：Received 19 February 2020, Revised 13 May 2020, Accepted 21 June 2020, Available online 24 June 2020, Version of Record 28 June 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106177