Multi-objective hybrid algorithms for layout optimization in multi-robot cellular manufacturing systems
作者：
Highlights：
• Hybrid algorithms to optimize layouts for multi-robot assembly systems are proposed.
• Layout area, operation time and manipulability are the three criteria used.
• DE, ABC, CSS and PSO are hybridized with genetic algorithm to have four hybrids.
• It is found that GA-PSO hybrid performs better over other hybrids.
• Algorithms are tested using Mitsubishi RV-6SQ robot configuration.
摘要
•Hybrid algorithms to optimize layouts for multi-robot assembly systems are proposed.•Layout area, operation time and manipulability are the three criteria used.•DE, ABC, CSS and PSO are hybridized with genetic algorithm to have four hybrids.•It is found that GA-PSO hybrid performs better over other hybrids.•Algorithms are tested using Mitsubishi RV-6SQ robot configuration.
论文关键词：Multi-robot assembly systems,Layout design,Object transportation,Evolutionary algorithms,Hybrid algorithms
论文评审过程：Received 25 May 2016, Revised 23 December 2016, Accepted 28 December 2016, Available online 3 January 2017, Version of Record 15 February 2017.
论文官网地址：https://doi.org/10.1016/j.knosys.2016.12.026
