Multi-Objective Passing Vehicle Search algorithm for structure optimization
作者：
Highlights：
• A novel metaheuristic called Multi-objective Passing Vehicle Search algorithm (MOPSV)
• MOPSV performance validated with 5 multi-objective truss optimization problems.
• Performance comparison with other state-of-the-art metaheuristics.
• MOPSV has a good balance of diversification and intensification of search.
• Performance assessment reveals that MOPVS is a very powerful algorithm.
摘要
•A novel metaheuristic called Multi-objective Passing Vehicle Search algorithm (MOPSV)•MOPSV performance validated with 5 multi-objective truss optimization problems.•Performance comparison with other state-of-the-art metaheuristics.•MOPSV has a good balance of diversification and intensification of search.•Performance assessment reveals that MOPVS is a very powerful algorithm.
论文关键词：Metaheuristic,Multi-objective optimization,Structural design,Discrete variables,Constraint optimization
论文评审过程：Received 7 June 2020, Revised 5 October 2020, Accepted 14 December 2020, Available online 1 January 2021, Version of Record 1 January 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114511
