中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research and Application on Job Shop Planning Based on Improved Glowworm Swarm Optimization Algorithm

文献类型:会议论文

作者Jing LY(荆绿英); Song H(宋宏); Lv XS(吕希胜)
出版日期2013
会议名称2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)
会议日期August 26-27, 2013
会议地点Hangzhou, China
关键词Improved Glowworm Swarm Optimization (GSO) Exchange and mutation Brightness of firefly A job planning model
页码139-143
中文摘要In order to complete the planning problem under the specific environment, an improved Artificial Glowworm Swarm Optimization GSO algorithm is proposed. In this algorithm, exchange and mutation is performed after each iterative. After each exchange and mutation the brightness of firefly, which related to fitness function value positively, is calculated and compared with brightness that has been got before this action for deciding whether to change the location of the firefly. Finally, most fireflies will gather on the location where the fitness function value is best. A job planning model based on the improved GSO algorithm is built by analysing the production process synthetically for the actual model of tobacco and the algorithm design is also given. Finally, the simulation is done and results show the improved GSO algorithm has good feasibility in tobacco production.
收录类别EI
产权排序1
会议录2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号978-0-7695-5011-4
源URL[http://ir.sia.cn/handle/173321/13818]  
专题沈阳自动化研究所_数字工厂研究室
推荐引用方式
GB/T 7714
Jing LY,Song H,Lv XS. Research and Application on Job Shop Planning Based on Improved Glowworm Swarm Optimization Algorithm[C]. 见:2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). Hangzhou, China. August 26-27, 2013.

入库方式: OAI收割

来源:沈阳自动化研究所

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