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题名: PS2O: A Multi-Swarm Optimizer for Discrete Optimization
作者: Chen HN(陈瀚宁) ; Zhu YL(朱云龙) ; Hu KY(胡琨元) ; Ku T(库涛)
作者部门: 先进制造技术研究室
会议名称: 7th World Congress on Intelligent Control and Automation
会议日期: June 25-27, 2008
会议地点: Chongqing, China
会议主办者: Chongqing Univ, Chongqing Inst Technol, Chongqing Univ Sci & Technol, Xihua Univ, SW Univ Sci & Technol, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intell, Natl Nat Sci Fdn, Chongqing Municipal Sci & Technol Comm, Chongqing Municipal Assoc Sci & Technol, KC Wong Educ Fdn
会议录: 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23
会议录出版者: IEEE
会议录出版地: NEW YORK
出版日期: 2008
页码: 587-592
收录类别: CPCI(ISTP) ; EI
ISBN号: 978-1-4244-2113-8
关键词: Coevolution ; (PSO)-O-2 ; PSO ; Optimization
摘要: In this paper, we implement an entire social system which consists of both heterogeneous cooperation and homogeneous cooperation aspects to formulate our simulation models of coevolution. We introduced a number of N species each possesses a number of M individuals into this coevolution model to represents the "biological community". Each individual of the community evolves based on the knowledge integration of itself, its species member and its symbiotic partners from other species. Since the community is made up of a swarm of agents who are species while each species is made up of a swarm of species members (individuals), our swarms within swarm model is instantiated as a hierarchical coevolutionary optimization algorithm, namely Particle Swarms Swarm Optimizer ((PSO)-O-2). The (PSO)-O-2 algorithm is evaluated on four discrete optimization problems for compared with the canonical discrete PSO algorithm. The comparisons show that on average, (PSO)-O-2 outperforms the PSO in terms of accuracy and convergence speed on all benchmark functions.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8256
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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