摘要
针对求解装配序列规划的进化类算法中个体智能性不足的问题,设计了求解装配序列规划的一种多智能体进化算法。携有装配序列规划信息的智能体不仅是竞争、变异等进化操作的基本单元,同时又具有"学习"、"协作"等智能行为。实验表明,与其他各类进化算法相比,多智能体进化算法具有明显的优越性。
To improve the individuals intelligence of traditional evolutionary algorithms for Assembly Sequence Planning（ASP）,a multi-Agent evolutionary algorithm for ASP was presented.Agent which carried a possible assembly sequence was not only an basic evolutionary operation units,but also with such intelligent actions as learning and cooperation.Experimental results showed that the algorithm was superior to other evolutionary algorithms.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2009年第9期1803-1808,共6页
Computer Integrated Manufacturing Systems
基金
国家自然科学基金资助项目(60563005)
广西自然科学基金资助项目(0832006Z)~~
关键词
智能体
学习
协作
进化算法
装配序列规划
Agent
learning
coorperation
evolutionary algorithm
assembly sequences planning
