Revisiting the performance of evolutionary algorithms
作者：
Highlights：
• Analysis of well-established evolutionary optimization algorithms.
• The novel approach of category-wise potent performance investigation.
• Performing the extensive experiments on diverse optimization test problems.
• Providing critical facts on the employed evolutionary algorithms.
• Offering pathway for the development of a new evolutionary algorithm.
摘要
•Analysis of well-established evolutionary optimization algorithms.•The novel approach of category-wise potent performance investigation.•Performing the extensive experiments on diverse optimization test problems.•Providing critical facts on the employed evolutionary algorithms.•Offering pathway for the development of a new evolutionary algorithm.
论文关键词：Evolutionary algorithms,Optimization problems,Performance comparison,Exploration,Exploitation
论文评审过程：Received 24 August 2020, Revised 3 January 2021, Accepted 27 February 2021, Available online 9 March 2021, Version of Record 21 March 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.114819
