A non-dominated ensemble fitness ranking algorithm for multi-objective flexible job-shop scheduling problem considering worker flexibility and green factors

作者：

Highlights：

• Flexible job-shop scheduling with worker flexibility and green factors is studied.

• A new non-dominated ensemble fitness ranking algorithm is proposed for the problem.

• A new selection method is presented to obtain a high-quality initial population.

• A local search method is designed to strengthen the exploitation ability.

• Results show that the algorithm is superior in solution quality and efficiency.

摘要

•Flexible job-shop scheduling with worker flexibility and green factors is studied.•A new non-dominated ensemble fitness ranking algorithm is proposed for the problem.•A new selection method is presented to obtain a high-quality initial population.•A local search method is designed to strengthen the exploitation ability.•Results show that the algorithm is superior in solution quality and efficiency.

论文关键词：Flexible job-shop scheduling,Worker flexibility,Green factors,Multi-objective optimization

论文评审过程：Received 24 March 2021, Revised 8 July 2021, Accepted 20 August 2021, Available online 25 August 2021, Version of Record 3 September 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107430