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)![]() ![]() ![]() |
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
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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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