Ensemble mutation-driven salp swarm algorithm with restart mechanism: Framework and fundamental analysis
作者：
Highlights：
• Composite mutation strategy (CMS) and restart strategy (RS) are embedded into SSA.
• CMS is able to boost the exploitation and exploration trends of SSA.
• RS is capable of assisting salps in getting away from local optimum.
• The proposed method is verified on IEEE CEC2017 benchmarks.
• The proposed method is also tested on IEEE CEC2011 and engineering problems.
摘要
•Composite mutation strategy (CMS) and restart strategy (RS) are embedded into SSA.•CMS is able to boost the exploitation and exploration trends of SSA.•RS is capable of assisting salps in getting away from local optimum.•The proposed method is verified on IEEE CEC2017 benchmarks.•The proposed method is also tested on IEEE CEC2011 and engineering problems.
论文关键词：Salp swarm algorithm,Ensemble mutation strategy,Restart mechanism,Swarm intelligence,Constrained engineering optimization problems
论文评审过程：Received 20 August 2019, Revised 31 July 2020, Accepted 17 August 2020, Available online 26 August 2020, Version of Record 7 September 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113897
