| 带有正负反馈性质的粒子群优化算法 |
| |
| 引用本文： | 黎红玲,罗林,刘好斌. 带有正负反馈性质的粒子群优化算法[J]. 电子科技, 2015, 28(2): 35-37 |
| |
| 作者姓名： | 黎红玲 罗林 刘好斌 |
| |
| 作者单位： | (内江师范学院 数学与信息科学学院,四川 内江 641112) |
| |
| 基金项目： | 教育部数学与应用数学专业综合改革基金资助项目，四川高校数值仿真与数学实验教学示范中心基金资助项目，内江师范学院青年科研基金资助项目 |
| |
| 摘 要： | 针对粒子群优化算法难以适应复杂的非线性优化,为此提出一种借助正负反馈原理来调整惯性权重和通过随机数对位置更新公式进行调整的改进算法。在仿真实验过程中,通过实验确定了改进算法中的反馈参数与更新公式;并对4个经典测试函数进行仿真实验,结果显示改进算法求解精度高、解的稳定性优良,尤其在多峰值函数中表现优越。
|
| 关 键 词： | 粒子群优化 惯性权重 多峰函数 正负反馈 |
Particle Swarm Optimization Algorithm with Positive and Negative Feedback Properties |
| |
| LI Hongling,LUO Lin,LIU Haobin. Particle Swarm Optimization Algorithm with Positive and Negative Feedback Properties[J]. Electronic Science and Technology, 2015, 28(2): 35-37 |
| |
| Authors: | LI Hongling LUO Lin LIU Haobin |
| |
| Affiliation: | (School of Mathematics and Information Science,Neijiang Normal College,Neijiang 641112,China) |
| |
| Abstract: | In view of the inability of the particle swarm optimization algorithm to adapt to the complex nonlinear optimization,an improved algorithm is put forward based on the principles of positive and negative feedback to adjust the inertia weight and updating formula of position by random number to adjust.The feedback parameters and updating formula for the improved algorithm are determined by experiment.Simulations of the 4 Classic functions show that the improved algorithm has high accuracy and good stability of solutions,especially in the multi pear function. |
| |
| Keywords: | particle swarm optimization inertia weight multi peak function positive and negative feedback, |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《电子科技》浏览原始摘要信息 |
|
点击此处可从《电子科技》下载全文 |
