| 一种加入创新粒子的粒子群 |
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| 引用本文： | 郑思平,陈红周.一种加入创新粒子的粒子群[J].数学理论与应用,2010(1):14-17. |
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| 作者姓名： | 郑思平 陈红周 |
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| 作者单位： | 华南理工大学理学院;中南大学数学院; |
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| 摘 要： | 粒子群算法是一种基于群体智能的随机并行算法,它在很多优化问题中都得到了比较好的应用。本文针对粒子群容易陷入局部最优解,提出了一种加入创新粒子的粒子群,实验模拟结果表明加入创新粒子的粒子群有更好的结果和收敛速度。
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| 关 键 词： | 粒子群 自适应 非线性 |
A New PSO by Adding Innovative Particles |
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| Zheng Siping Chen Hongzhou.A New PSO by Adding Innovative Particles[J].Mathematical Theory and Applications,2010(1):14-17. |
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| Authors: | Zheng Siping Chen Hongzhou |
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| Institution: | 1.School of Science/a>;South China University of Technology/a>;Guangzhou/a>;510640;2.School of Mathematical Science and Computing Technology/a>;CSU/a>;Changsha/a>;410083 |
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| Abstract: | Particle Swarm Optimization (PSO) is a swarm intelligence based on stochastic parallel algorithm,which in many optimization problems have been a better application.In this paper,particle swarm easily trapped into local optimal solution,a new PSO by adding innovative particles is proposed.Experimental simulation results show that it has better results and the convergence rate,I believe that in other specific optimization problems by adding innovative particles will have a very good performance of PSO. |
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| Keywords: | Particle Swarm Optimization Innovation particles Local solution |
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