| 改进的粒子群优化算法 |
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| 引用本文： | 王晓英,邢志栋,黄瑞平.改进的粒子群优化算法[J].计算机应用与软件,2008,25(5):85-87. |
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| 作者姓名： | 王晓英 邢志栋 黄瑞平 |
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| 作者单位： | 西北大学数学系,陕西,西安,710069 |
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| 摘 要： | 将基本粒子群算法粒子行为基于个体极值点和全局极值点变化为基于个体极值中心,并且按一定概率选择其他粒子的个体极值点,设计了一种新的粒子群优化算法.新算法的学习行为符合自然界生物的学习规律,更有利于粒子发现问题的全局最优解.实验结果表明了算法的有效性.
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| 关 键 词： | 粒子群优化算法 群智能 进化计算 |
| 修稿时间： | 2006年7月21日 |
AN IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM |
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| Wang Xiao-ying,Xing Zhi-dong,Huang Rui-ping.AN IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM[J].Computer Applications and Software,2008,25(5):85-87. |
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| Authors: | Wang Xiao-ying Xing Zhi-dong Huang Rui-ping |
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| Affiliation: | Wang Xiaoying Xing Zhidong Huang Ruiping(Department of Mathematics,Northwest University,Xi'an 710069,Shaanxi,China) |
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| Abstract: | A new particle swarm optimization algorithm was presented in the paper by altering particle behaviour from individual extremum point and global extrema points based to individual extremum centre based in fundamental particle swarm algorithm and by selecting the individual extremum point of other particles in a certain probability.The learning behaviour of the new algorithm accords with the learning law of natural living beings and is beneficial to global optimal solution for particle discovery problems.The ... |
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| Keywords: | Particle swarm optimization algorithm Swarm intelligence Evolutionary computation |
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