A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling

作者：

Highlights：

• The bi-objective FFJSP with two objectives is considered.

• An adaptive MOEA/D with VNS is proposed.

• The results indicate the superior performance of our approach.

摘要

•The bi-objective FFJSP with two objectives is considered.•An adaptive MOEA/D with VNS is proposed.•The results indicate the superior performance of our approach.

论文关键词：Fuzzy flexible job shop scheduling,Multi-objective optimization,Parameter adaption,Reinforcement learning,MOEA/D

论文评审过程：Received 15 September 2021, Revised 13 March 2022, Accepted 25 April 2022, Available online 7 May 2022, Version of Record 13 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117380