Salp Swarm Optimization: A critical review
作者：
Highlights：
• Critical analysis of the widely-used salp optimization algorithm (SSO).
• Definition of an amended version of SSO that fixed SSO’s structural bias.
• Extensive experimental phase using the CEC 2017 benchmark suite.
• Results show that SSO does not provide any advantage w.r.t. existing heuristics.
• Metaphor-based approach to design metaheuristics may introduce bias.
摘要
•Critical analysis of the widely-used salp optimization algorithm (SSO).•Definition of an amended version of SSO that fixed SSO’s structural bias.•Extensive experimental phase using the CEC 2017 benchmark suite.•Results show that SSO does not provide any advantage w.r.t. existing heuristics.•Metaphor-based approach to design metaheuristics may introduce bias.
论文关键词：Metaheuristics,Global optimization,Bound constrained optimization,Shift invariant functions
论文评审过程：Received 18 May 2021, Revised 14 August 2021, Accepted 1 October 2021, Available online 16 October 2021, Version of Record 25 October 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116029
