A cooperative system for metaheuristic algorithms

作者：

Highlights：

• Creating a cooperative scheme to automatically select a meta-heuristic algorithm.

• Changing algorithms that cannot promise a better solution and tuning parameters.

• Controlling the searching process dynamically via fuzzy logic.

• Using the same amount of computational resources as isolated meta-heuristic.

摘要

•Creating a cooperative scheme to automatically select a meta-heuristic algorithm.•Changing algorithms that cannot promise a better solution and tuning parameters.•Controlling the searching process dynamically via fuzzy logic.•Using the same amount of computational resources as isolated meta-heuristic.

论文关键词：Soft computing,Optimization,Metaheuristic,Intelligent system,Fuzzy inference system

论文评审过程：Received 12 May 2020, Revised 11 August 2020, Accepted 4 September 2020, Available online 7 September 2020, Version of Record 12 September 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113976