Guided Manta Ray foraging optimization using epsilon dominance for multi-objective optimization in engineering design
作者：
Highlights：
• We propose a new multi-objective Manta-Ray Algorithm for design engineering.
• We use the population archive and the leader’s solutions to guide the Heuristic.
• We use the crowding distance and the epsilon dominance to approximate Pareto set.
• Our algorithm provides a better convergence behaviour with better diverse solutions.
摘要
•We propose a new multi-objective Manta-Ray Algorithm for design engineering.•We use the population archive and the leader’s solutions to guide the Heuristic.•We use the crowding distance and the epsilon dominance to approximate Pareto set.•Our algorithm provides a better convergence behaviour with better diverse solutions.
论文关键词：Multi-objective optimization,Pareto set approximation,Epsilon-dominance,Manta Ray foraging optimization,Engineering design
论文评审过程：Received 29 April 2021, Revised 20 September 2021, Accepted 17 October 2021, Available online 30 October 2021, Version of Record 3 November 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116126
