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| 一种新的基于三种进化模型的粒子群优化算法 | |
| 引用本文： | 俞智慧,吴烈阳,吴文欢,黎川. 一种新的基于三种进化模型的粒子群优化算法[J]. 微计算机应用, 2011, 32(12): 9-13 |
| 作者姓名： | 俞智慧 吴烈阳 吴文欢 黎川 |
| 作者单位： | 1. 上饶师范学院数学与计算机科学学院 上饶334001 2. 江西省高速公路联网管理中心 南昌330003 3. 周口师范学院计算机科学系 周口466000 |
| 摘 要： | 针对标准粒子群优化算法在优化多极值点复杂问题时容易陷入局部极值的缺陷，提出了一种新的采用不同进化模型分阶段进化的粒子群优化算法。该方法将粒子群进化过程分成三个阶段，第一阶段按cognitiononly模型进化，第二阶段按标准模型进化，第三阶段按socialonly模型进化。在不同进化阶段利用不同模型进化可以增加种群的多样性，达到降低群体陷入局部极值点的效果。仿真实验结果表明，对于复杂多极值函数优化问题，本文算法比标准算法的全局寻优性能更好。 |
| 关 键 词： | 粒子群优化算法 局部极值 种群多样性 |
A New Particle Swarm Optimization Based on Three Evolution Model |
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| YU Zhihui , WU Lieyang , WU Wenhuan , LI Chuan. A New Particle Swarm Optimization Based on Three Evolution Model[J]. Microcomputer Applications, 2011, 32(12): 9-13 | |
| Authors: | YU Zhihui WU Lieyang WU Wenhuan LI Chuan |
| Affiliation: | YU Zhihui 1,WU Lieyang2,WU Wenhuan3,LI Chuan2(1School of Mathematics and Computer Science,ShangRao Normal University,Shangrao,334001,China,2Highway Network Management Center of JiangXi Province,NanChang,330003,China 3Department of Computer Science,ZhuKou Normal University,ZhouKou,466000,China) |
| Abstract: | Considering that the standard PSO easily falls into local optimization when it solves the multi-extremum problems,a new PSO algorithm that adopts three different evolution models by stages is proposed.In this algorithm,the evolution process is divided into three stages.The first stage is the cognition only model,while the standard model is in the second stage and the third stage is the social only model.The population diversity is increased by using different models in three stages,so that the possibility o... |
| Keywords: | Particle Swarm Optimization local optimization population diversity |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |