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题名: Research and Application on Job Shop Planning Based on Improved Glowworm Swarm Optimization Algorithm
作者: Jing LY(荆绿英) ; Song H(宋宏) ; Lv XS(吕希胜)
作者部门: 数字工厂研究室
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
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
出版日期: 2013
页码: 139-143
收录类别: EI
ISBN号: 978-0-7695-5011-4
关键词: Improved Glowworm Swarm Optimization (GSO) ; Exchange and mutation ; Brightness of firefly ; A job planning model
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.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/13818
Appears in Collections:数字工厂研究室_会议论文

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