Operational framework for recent advances in backtracking search optimisation algorithm: A systematic review and performance evaluation
作者：
Highlights：
• A systematic and meta-analysis review on the studies and recent advances on BSA.
• Proposing frameworks of the extensions and uses of BSA.
• Reviewing statistical analysis and performance evaluation on BSA in the literature.
• Equitable performance evaluation of BSA compared to its counterpart algorithms.
• Considering several criteria to fairly evaluate BSA performance.
摘要
•A systematic and meta-analysis review on the studies and recent advances on BSA.•Proposing frameworks of the extensions and uses of BSA.•Reviewing statistical analysis and performance evaluation on BSA in the literature.•Equitable performance evaluation of BSA compared to its counterpart algorithms.•Considering several criteria to fairly evaluate BSA performance.
论文关键词：Swarm intelligence,Evolutionary optimisation algorithms,Backtracking search optimisation algorithm,Optimisation problems,BSA applications,Performance evaluation
论文评审过程：Received 24 May 2019, Revised 30 August 2019, Accepted 10 November 2019, Available online 29 November 2019, Version of Record 13 December 2019.
论文官网地址：https://doi.org/10.1016/j.amc.2019.124919
