Comparative optimizer rank and score: A modern approach for performance analysis of optimization techniques
作者：
Highlights：
• CORS proposes eight performance measures for evaluating optimization techniques.
• The results are formed in comparison to other peers and in a range from 1 to 100.
• The results could easily present a semantical knowledge of large aggregated data.
• CORS is suitable for all optimization benchmarks.
• CORS may offer an edge for fields such as meta-optimization and hyper-heuristic.
摘要
•CORS proposes eight performance measures for evaluating optimization techniques.•The results are formed in comparison to other peers and in a range from 1 to 100.•The results could easily present a semantical knowledge of large aggregated data.•CORS is suitable for all optimization benchmarks.•CORS may offer an edge for fields such as meta-optimization and hyper-heuristic.
论文关键词：Metaheuristics,Nature-inspired algorithms,Optimization,Performance analysis,Swarm intelligence
论文评审过程：Received 29 January 2015, Revised 25 September 2015, Accepted 27 September 2015, Available online 5 October 2015, Version of Record 17 October 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.09.042
