| 粒子群算法在非线性系统应用中的早熟现象及其改进 |
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| 引用本文： | 肖媛,崔国民,彭富裕,周静.粒子群算法在非线性系统应用中的早熟现象及其改进[J].计算物理,2015,32(6):693-700. |
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| 作者姓名： | 肖媛 崔国民 彭富裕 周静 |
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| 作者单位： | 上海理工大学能源与动力工程学院, 上海 200093 |
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| 基金项目： | 国家自然科学基金(51176125);沪江基金研究基地专项(D14001)资助项目 |
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| 摘 要： | 通过分析粒子群算法早熟现象的机理,研究早熟收敛的本质,并提出一种克服粒子群算法早熟现象的局部"飞跃"策略.应用仿真及系统工程实例表明,该方法能有效地改善粒子群算法在非线性全局优化上的早熟问题,提高了粒子群算法的全局搜索能力.
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| 关 键 词： | 粒子群算法 早熟收敛 系统工程 局部'飞跃'策略 |
| 收稿时间： | 2014-11-11 |
| 修稿时间： | 2015-04-14 |
An Improved Particle Swarm Optimization for Precocious Phenomenon in Nonlinear System Engineering |
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| XIAO Yuan,CUI Guomin,PENG Fuyu,ZHOU Jing.An Improved Particle Swarm Optimization for Precocious Phenomenon in Nonlinear System Engineering[J].Chinese Journal of Computational Physics,2015,32(6):693-700. |
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| Authors: | XIAO Yuan CUI Guomin PENG Fuyu ZHOU Jing |
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| Institution: | School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China |
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| Abstract: | By analyzing mechanism of premature phenomenon in particle swarm optimization (PSO), we found nature of premature convergence and proposed a "leap" strategy to jump out of local minimum, making halted particles "renewed" when they are trapped into a local optimum. The strategy is applied to nonlinear programming and results are encouraging. The improved PSO solves efficiently premature convergence of the algorithm applying in nonlinear optimizations and improves global search ability of PSO. |
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| Keywords: | particle swarm optimization premature converge systems engineering 'leap'strategy |
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