| 不同惯性权重设置的粒子群算法的仿真实验 |
| |
| 引用本文： | 林恒青.不同惯性权重设置的粒子群算法的仿真实验[J].闽江学院学报,2013,34(2):73-76. |
| |
| 作者姓名： | 林恒青 |
| |
| 作者单位： | 福建船政交通职业学院机械工程系,福建福州,350007 |
| |
| 摘 要： | 惯性权重是粒子群算法的一个重要参数.为了验证惯性权重对粒子群算法性能的影响,选取3个有代表性的惯性权重设置,与线性权值递减策略进行各个方面的比较,采用3个标准测试函数测试这些策略对算法的影响.实验结果表明采用w1PSO的惯性权值设置方式,所取得的效果要优于其他惯性权值策略.
|
| 关 键 词： | 粒子群算法 惯性权重 递减策略 |
Particle swarm optimization algorithm simulation of different inertia weight |
| |
| LIN Heng-qing.Particle swarm optimization algorithm simulation of different inertia weight[J].Journal of Minjiang University,2013,34(2):73-76. |
| |
| Authors: | LIN Heng-qing |
| |
| Institution: | LIN Heng-qing(Department of Mechanical Engineering,Fujian Chuanzheng Communications College,Fuzhou,Fujian 350007,China) |
| |
| Abstract: | Inertia weight is one of important parameters of particle swarm optimization.To validate how the inertia weight to influences on the particle swarm optimization performance,three typical inertia weight strategies are used to compare with various aspects of linearly decreasing weight.The three standard test function are applied to test these strategies on the influence of the algorithm.The experimental results show that the achieved result of the inertia weight settings of w1PSO is superior to other inertia weights strategy. |
| |
| Keywords: | particle swarm optimization inertia weight decreasing strategy |
| 本文献已被 维普 万方数据 等数据库收录！ |
