A conceptual and practical comparison of PSO-style optimization algorithms

作者：

Highlights：

• Nature-inspired optimization algorithms are used to solve optimization problems.

• Many comparisons are presented to compare PSO-style optimization algorithms.

• Under the same metaheuristic framework, the algorithms perform similarly.

摘要

•Nature-inspired optimization algorithms are used to solve optimization problems.•Many comparisons are presented to compare PSO-style optimization algorithms.•Under the same metaheuristic framework, the algorithms perform similarly.

论文关键词：Particle swarm optimization (PSO),Nature-inspired optimization algorithms,Swarm optimization algorithms,Gray wolf optimization (GWO),Whale optimization algorithm (WOA),Sine–cosine algorithm (SCA),Bat algorithm

论文评审过程：Received 4 November 2019, Revised 27 August 2020, Accepted 30 November 2020, Available online 3 December 2020, Version of Record 5 December 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114430