中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Solving weapon-target assignment problem using discrete particle swarm optimization

文献类型:会议论文

作者Zeng XP(曾祥萍); Zhu YL(朱云龙); Nan L(南琳); Hu KY(胡琨元); Niu B(牛奔); He XX(何小贤)
出版日期2006
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
关键词weapon-target assignment particle swarm optimization greedy searching strategy
页码3562-3565
通讯作者曾祥萍
中文摘要This paper presents a discrete particle swarm optimization (DPSO) to solve weapon-target assignment (WTA) problem. The proposed algorithm sponges the advantages of PSO and GA. Originally the greedy searching strategy is introduced into DPSO in which a priority set is constructed to control the local search and converge to the global optimum efficiently. Then the particles would be updated based on the information of priority set. Furthermore, the concept of "permutation" is employed to the update strategy. Finally, particles will be reinitialized as long as they are stagnated in the search space. The experimental results illustrate that the DPSO is a promising optimization method, which is especially useful for optimization problem with discrete variables.
收录类别EI ; CPCI(ISTP)
产权排序1
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
语种英语
ISBN号1-4244-0331-6
WOS记录号WOS:000241773204019
源URL[http://ir.sia.cn/handle/173321/8277]  
专题沈阳自动化研究所_工业信息学研究室_先进制造技术研究室
推荐引用方式
GB/T 7714
Zeng XP,Zhu YL,Nan L,et al. Solving weapon-target assignment problem using discrete particle swarm optimization[C]. 见:6th World Congress on Intelligent Control and Automation. Dalian, China. June 21-23, 2006.

入库方式: OAI收割

来源:沈阳自动化研究所

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