CCSA: Cellular Crow Search Algorithm with topological neighborhood shapes for optimization

作者：

Highlights：

• Cellular automata is injected with crow search algorithm (CCSA) to empower diversity.

• CCSA with six neighborhood shapes (i.e., L5, L9, C9, C13, C21, and C25) are proposed.

• CSA is evaluated using 23 test functions, and four Engineering problems.

• Results show the superiority of the CCSA against the other comparative algorithms.

摘要

•Cellular automata is injected with crow search algorithm (CCSA) to empower diversity.•CCSA with six neighborhood shapes (i.e., L5, L9, C9, C13, C21, and C25) are proposed.•CSA is evaluated using 23 test functions, and four Engineering problems.•Results show the superiority of the CCSA against the other comparative algorithms.

论文关键词：Crow Search Algorithm,Cellular automata model,Structured population,Diversity control,Metaheuristics,Optimization

论文评审过程：Received 7 July 2021, Revised 27 September 2021, Accepted 19 December 2021, Available online 13 January 2022, Version of Record 29 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116431