Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization
作者：
Highlights：
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• A novel multi-objective algorithm called Multi-objective Grey Wolf Optimizer is proposed.
• MOGWO is benchmarked on 10 challenging multi-objective test problems.
• The quantitative results show the superior convergence and coverage of MOGWO.
• The coverage ability of MOGWO is confirmed by the qualitative results as well.
摘要
•A novel multi-objective algorithm called Multi-objective Grey Wolf Optimizer is proposed.•MOGWO is benchmarked on 10 challenging multi-objective test problems.•The quantitative results show the superior convergence and coverage of MOGWO.•The coverage ability of MOGWO is confirmed by the qualitative results as well.
论文关键词：Multi-objective optimization,Evolutionary algorithm,Multi-criterion optimization,Heuristic algorithm,Meta-heuristic,Engineering optimization,Grey wolf optimizer
论文评审过程：Received 9 August 2014, Revised 27 October 2015, Accepted 28 October 2015, Available online 22 November 2015, Version of Record 7 December 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.10.039
