Chaos-assisted multi-population salp swarm algorithms: Framework and case studies

作者：

Highlights：

• Multi-population mechanism is introduced into salp swarm algorithm.

• The proposed method is abbreviated as MCSSA.

• Chaos-assisted exploitation strategy is introduced into MCSSA.

• MCSSA is tested over 30 benchmark functions and 5 real-world problems.

• The greater effectiveness of MCSSA is confirmed over the advanced algorithms.

摘要

•Multi-population mechanism is introduced into salp swarm algorithm.•The proposed method is abbreviated as MCSSA.•Chaos-assisted exploitation strategy is introduced into MCSSA.•MCSSA is tested over 30 benchmark functions and 5 real-world problems.•The greater effectiveness of MCSSA is confirmed over the advanced algorithms.

论文关键词：Salp swarm algorithm,Chaos-assisted exploitation strategy,Meta-heuristic,Global optimization,Swarm intelligence

论文评审过程：Received 12 October 2019, Revised 14 July 2020, Accepted 23 November 2020, Available online 29 November 2020, Version of Record 14 December 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114369