A multi-objective co-evolutionary algorithm of scheduling on parallel non-identical batch machines

作者：

Highlights：

• A co-evolutionary algorithm CBTP-MMAS is proposed to solve the problem.

• A new strategy MMAS-P using users’ preferences is proposed to construct solutions.

• An adaptive search strategy is designed to improve the uniformity of solutions.

• A strategy that selects ants to update experiences is designed to improve convergence.

摘要

•A co-evolutionary algorithm CBTP-MMAS is proposed to solve the problem.•A new strategy MMAS-P using users’ preferences is proposed to construct solutions.•An adaptive search strategy is designed to improve the uniformity of solutions.•A strategy that selects ants to update experiences is designed to improve convergence.

论文关键词：Co-evolution,Parallel batch machines,Adaptive search,Makespan,Total energy consumption

论文评审过程：Received 16 October 2019, Revised 7 October 2020, Accepted 20 October 2020, Available online 21 October 2020, Version of Record 10 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114145