| 改进的协同粒子群优化算法 |
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| 引用本文： | 满春涛,盛桂敏. 改进的协同粒子群优化算法[J]. 哈尔滨理工大学学报, 2010, 15(6): 51-53,58 |
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| 作者姓名： | 满春涛 盛桂敏 |
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| 作者单位： | [1]哈尔滨理工大学自动化学院,黑龙江哈尔滨150080 [2]绥化学院电子工程系,黑龙江绥化152001 |
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| 基金项目： | 黑龙江省自然科学基金，黑龙江省教育厅科研项目，哈尔滨市科技创新人才研究专项资金项目 |
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| 摘 要： | 针对协同粒子群优化算法存在停滞,不能保证收敛到局部或全局最优值的问题,提出一种改进的协同粒子群优化算法(CCPSO-Hk),该算法将混沌理论引入协同粒子群算法(Chaos PSO)中,利用混沌运动的随机性、遍历性和规律性等改善了协同粒子群算法(Cooperate Particle Swarm Optimization)的性能.通过仿真验证算法的有效性.
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| 关 键 词： | 协同粒子群 信息交流 混沌理论 收敛精确度 |
An Improved Algorithm Based on Cooperative Particle Swarm Optimization |
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| MAN Chun-tao,SHENG Gui-min. An Improved Algorithm Based on Cooperative Particle Swarm Optimization[J]. Journal of Harbin University of Science and Technology, 2010, 15(6): 51-53,58 |
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| Authors: | MAN Chun-tao SHENG Gui-min |
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| Affiliation: | 1.School of Automation,Harbin University of Science and Technology,Harbin 150080,China;2.Electronic Engineering,Suihua University,Suihua 152001,China) |
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| Abstract: | Because the cooperative Particlive Swarm Optimization falls into the local optimum easily,and cannot be guaranteed to the optimal value of local or global convergence,an improved method is designed,called CCPSO-Hk.The algorithm introduces the chaos PSO into the cooperative particle swarm optimization,and improves the cooperative particle swarm optimization performance making use of the random,ergodicity and regularity.The simulation results show that the proposed method is effective for complex function optimization. |
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| Keywords: | cooperate particle swarm optimization information communication chaos theory convergence precision |
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