| 一种动态学习对象的粒子群优化算法 |
| |
| 引用本文： | 曹智方,王国胤,申元霞.一种动态学习对象的粒子群优化算法[J].计算机工程,2011,37(19):171-173. |
| |
| 作者姓名： | 曹智方 王国胤 申元霞 |
| |
| 作者单位： | 重庆邮电大学计算机科学与技术学院,重庆,400065 |
| |
| 基金项目： | 国家自然科学基金资助项目(60773113); 重庆市杰出青年科学基金资助项目(2008BA2041); 重庆市自然科学基金资助重点项目(2008BA2017) |
| |
| 摘 要： | 针对粒子群优化算法容易早熟、收敛精度低等问题,基于群体多样性反馈的思想,提出一种动态学习对象的粒子群优化算法.该算法采用群体多样性动态控制粒子的学习对象,减缓群体多样性的丧失速度,有利于群体的全局寻优.对3种典型多峰函数的仿真结果表明,该算法可以有效避免早熟问题,具有较好的全局寻优能力.
|
| 关 键 词： | 粒子群优化 早熟 反馈 群体多样性 多峰函数 |
| 收稿时间： | 2011-04-27 |
Particle Swarm Optimization Algorithm with Dynamic Learning Objects |
| |
| CAO Zhi-fang,WANG Guo-yin,SHEN Yuan-xia.Particle Swarm Optimization Algorithm with Dynamic Learning Objects[J].Computer Engineering,2011,37(19):171-173. |
| |
| Authors: | CAO Zhi-fang WANG Guo-yin SHEN Yuan-xia |
| |
| Affiliation: | CAO Zhi-fang,WANG Guo-yin,SHEN Yuan-xia(School of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China) |
| |
| Abstract: | To overcome the disadvantage of Particle Swarm Optimization(PSO) algorithm such as premature,bad convergence precision,based on feedback of swarm diversity,a PSO algorithm with Dynamic Learning Objects(PSO-DLO) is presented.In the algorithm swarm diversity is used to control the learning objects,the strategy relieves the lost of swarm diversity,which is helpful for the global search.Experiments of three typical multi-modal functions indicate that the algorithm can effectively avoid premature and achieve bet... |
| |
| Keywords: | Particle Swarm Optimization(PSO) premature feedback swarm diversity multi-modal function |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程》浏览原始摘要信息 |
|
点击此处可从《计算机工程》下载全文 |
|
