| 基于动态维度交叉的粒子群高维函数优化 |
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| 引用本文： | 胡成玉,王博.基于动态维度交叉的粒子群高维函数优化[J].计算技术与自动化,2009,28(1). |
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| 作者姓名： | 胡成玉 王博 |
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| 作者单位： | 1. 华中科技大学控制科学与工程系,湖北,武汉,430074
2. 上海交通大学自动化系,上海,200240 |
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| 基金项目： | 国家自然科学基金，中国地质大学优秀青年教师基金 |
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| 摘 要： | 提出一种优化高维函数的改进粒子群算法.粒子群算法在高维函数优化方面精度比较低,种群容易陷入停滞,分析粒子群算法在针对高维函数方面难以优化的原因,提出一种基于动态维度交又的改进粒子群算法,通过对五个典型测试函数的仿真,说明该算法具有摆脱较快的收敛能力和较高的收敛精度.
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| 关 键 词： | 粒子群算法 高维优化函数 维度交叉 |
Particle Swarm Optimization with Dynamic Dimension Crossover for High Dimensional Problems |
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| HU Cheng-yu,WANG Bo.Particle Swarm Optimization with Dynamic Dimension Crossover for High Dimensional Problems[J].Computing Technology and Automation,2009,28(1). |
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| Authors: | HU Cheng-yu WANG Bo |
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| Affiliation: | HU Cheng-yu1,WANG Bo2 |
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| Abstract: | Previous work presented some modified approaches based particle swarm optimization(PSO) to solve complex optimization problems.Preliminary results demonstrated that PSO with crossover(CPSO) constituted a promising approach to solve some optimization problems.However how to optimize high dimensional problem with crossover became challenging.In this paper,a modified PSO with dimension crossover is proposed.First we analyze the cause of hardly optimizing the high dimensional problem,and then design one dynamic... |
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| Keywords: | PSO high dimensional problems dimension crossover |
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