PSO优化算法的参数研究 |
| |
引用本文: | 赵娜,贾世魁,王健,孙志礼.PSO优化算法的参数研究[J].机械与电子,2013(11):3-6. |
| |
作者姓名: | 赵娜 贾世魁 王健 孙志礼 |
| |
作者单位: | [1]东北大学机械学院,辽宁沈阳110819 [2]沈阳化工大学机械工程学院,辽宁沈阳110142 |
| |
基金项目: | 国家自然科学基金资助项目(51205052) |
| |
摘 要: | 分析了惯性权重与学习因子对算法性能的影响,相应提出了几种调整策略并对其优缺点进行比较,之后基于前人的基础数据,借助Matlab软件进行编程,对6种组合调整策略进行优化试验,并与前人试验的最优解进行比较,最终通过试验数据,找出了一种较为可行的优化调整策略.
|
关 键 词: | PSO算法 惯性权重 学习因子 最优解 |
Survey on the Parameters of Particle Swarm Optimization |
| |
Affiliation: | ZHAO Na ,JIA Shi - kui ,WANG Jian ,SUN Zhi - li ( 1. School of Mechanical Engineering, Northeastern University, Shenyang 110819, China ; 2. School of Mechanical Engineering,Shenyang University of Chemical Technology,Shenyang 110142, China) |
| |
Abstract: | This article analyzes the ettects of in- ertia weight and learning factors on the perform- ance of the algorithm, proposes several correspond- ing strategies and their advantages and compares the advantages and disadvantages between them, then uses matlab to program for the six combina- tions of adjustment strategies to test and compares the results with previous trials to identify a more feasible optimal strategy. |
| |
Keywords: | particle swarm optimization(PSO) inertia weight learning factor optimal solution |
本文献已被 维普 等数据库收录! |
|