An improved imperialist competition algorithm with adaptive differential mutation assimilation strategy for function optimization

作者：

Highlights：

• A new assimilation method was proposed for imperialist competitive algorithm .

• The method generates new position using “DE/best/1” mutation and crossover operator.

• The method has better global searching capability.

• The method can maintain a good population diversity.

摘要

•A new assimilation method was proposed for imperialist competitive algorithm .•The method generates new position using “DE/best/1” mutation and crossover operator.•The method has better global searching capability.•The method can maintain a good population diversity.

论文关键词：Imperialist competitive algorithm,Differential mutation,Crossover,Function optimization

论文评审过程：Received 25 January 2022, Revised 14 August 2022, Accepted 22 August 2022, Available online 28 August 2022, Version of Record 2 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118686