| 粒子群优化算法 |
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| 引用本文： | 周驰,高海兵,高亮,章万国.粒子群优化算法[J].计算机应用研究,2003,20(12):7-11. |
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| 作者姓名： | 周驰 高海兵 高亮 章万国 |
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| 作者单位： | 华中科技大学,机械科学与工程学院,教育部智能制造开放实验室,湖北,武汉,430074 |
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| 基金项目： | 国家863/CIMS主题资助项目(2002AA413720)，国家863/CIMS主题资助项目(2002AA411710) |
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| 摘 要： | 系统地介绍了粒子群优化算法，归纳了其发展过程中的各种改进如惯性权重、收敛因子、跟踪并优化动态目标等模型。阐述了算法在目标函数优化、神经网络训练、模糊控制系统等基本领域的应用并给出其在工程领域的应用进展，最后，对粒子群优化算法的研究和应用进行了总结和展望，指出其在计算机辅助工艺规划领域的应用前景。
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| 关 键 词： | 粒子群优化算法 遗传算法 神经网络 模糊系统 |
| 文章编号： | 1001-3695(2003)12-0007-05 |
Particle Swarm Optimization(PSO) Algorithm |
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| ZHOU Chi,GAO Hai-bing,GAO Liang,ZHANG Wan-guo.Particle Swarm Optimization(PSO) Algorithm[J].Application Research of Computers,2003,20(12):7-11. |
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| Authors: | ZHOU Chi GAO Hai-bing GAO Liang ZHANG Wan-guo |
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| Abstract: | A new optimizer-Particle Swarm Optimization(PSO) is introduced.Developments in the PSO such as inertia weight,constriction factor,tracking and optimizing dynamic systems etc are reviewed.Then,its applications in some basic areas:function optimization,neural network training and fuzzy control system are summarized.Following this,several important engineering application examples are given.Finally,the research and application of PSO in the future are pointed out and its potential application in computer aided process planning is proposed. |
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| Keywords: | Particle Swarm Optimization Algorithm Genetic Algorithm Neural Network Fuzzy Control |
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