Dynamic hybrid mechanism-based differential evolution algorithm and its application

作者：

Highlights：

• A cooperative co-evolutionary DE with dynamic hybrid mechanism (QGDECC) is proposed.

• A quantum variable decomposition strategy is designed by utilizing qubit string.

• The increment mutation method is proposed by using the searched evolution information.

• A railway train delay scheduling method based on QGDECC is proposed.

摘要

•A cooperative co-evolutionary DE with dynamic hybrid mechanism (QGDECC) is proposed.•A quantum variable decomposition strategy is designed by utilizing qubit string.•The increment mutation method is proposed by using the searched evolution information.•A railway train delay scheduling method based on QGDECC is proposed.

论文关键词：Differential evolution,Hybrid mechanism,Variable decomposition,Parameter adaptation,Increment mutation,Cooperative co-evolution,Train scheduling

论文评审过程：Received 25 April 2022, Revised 25 August 2022, Accepted 11 September 2022, Available online 15 September 2022, Version of Record 27 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118834