A continuous-state cellular automata algorithm for global optimization

作者：

Highlights：

• Cellular automata concepts are useful to implement a new algorithm for global optimization.

• CCAA is inspired in the neighborhood concept and different evolution rules of cellular automata.

• The new algorithm (CCAA) is very simple and easy to implement.

• CCAA is competitive to optimize well-known test problems and engineering applications.

摘要

•Cellular automata concepts are useful to implement a new algorithm for global optimization.•CCAA is inspired in the neighborhood concept and different evolution rules of cellular automata.•The new algorithm (CCAA) is very simple and easy to implement.•CCAA is competitive to optimize well-known test problems and engineering applications.

论文关键词：Global optimization,Cellular automata,Metaheuristics,Engineering applications

论文评审过程：Received 8 December 2020, Revised 20 February 2021, Accepted 19 March 2021, Available online 29 March 2021, Version of Record 16 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114930