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题名: A hybrid strategy based on ant colony and taboo search algorithms for fuzzy job shop scheduling
作者: Song XY(宋晓宇) ; Zhu YL(朱云龙) ; Yin CW(尹朝万) ; Li FM(李富明)
作者部门: 先进制造技术研究室
会议名称: 6th World Congress on Intelligent Control and Automation
会议日期: June 21-23, 2006
会议地点: Dalian, China
会议主办者: Dalian Univ Technol, Northeastern Univ, Dalian Maritime Univ, Shanghai Baosight Software Co Ltd, IEEE Robot & Automat Soc, Natl Nat Sci Fdn China, Chinese Assoc Automat, IEEE Control Syst Soc, Beijing Chapter, Minist Educ China, Grandar Robot Co Ltd, Yokogawa Elect Corp, KC Wong Educ Fdn, Siemens Ltd
会议录: WCICA 2006: Sixth World Congress on Intelligent Control and Automation, Vols 1-12, Conference Proceedings
会议录出版者: IEEE
会议录出版地: NEW YORK
出版日期: 2006
页码: 7362-7365
收录类别: CPCI(ISTP) ; EI
ISBN号: 1-4244-0331-6
关键词: ant colony algorithm ; taboo search algorithm ; hybrid algorithm ; fuzzy processing time
摘要: A hybrid strategy base on ant colony and taboo search algorithms is proposed for fuzzy Job Shop scheduling propose, which uses the ant colony algorithm as a global search algorithm, and adopt taboo search algorithms as a local search algorithm. TS algorithms have stronger ability of the local search, which can overcome the disadvantages of ant colony algorithms, so this hybrid strategy can improve the quality of solutions. The experimental results show that the proposed hybrid algorithm has gotten higher the average agreement index than that of taboo search algorithms and parallel genetic algorithms in solving the hard benchmark problems.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8195
Appears in Collections:工业信息学研究室_先进制造技术研究室_会议论文

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Recommended Citation:
宋晓宇; 朱云龙; 尹朝万; 李富明.A hybrid strategy based on ant colony and taboo search algorithms for fuzzy job shop scheduling.见:IEEE .WCICA 2006: Sixth World Congress on Intelligent Control and Automation, Vols 1-12, Conference Proceedings,NEW YORK,2006,7362-7365
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