| 智能单粒子优化算法 |
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| 引用本文： | 纪震,周家锐,廖惠连,吴青华.智能单粒子优化算法[J].计算机学报,2010,33(3). |
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| 作者姓名： | 纪震 周家锐 廖惠连 吴青华 |
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| 作者单位： | 1. 深圳大学计算机与软件学院德州仪器DSPs实验室,深圳,518060
2. 利物浦大学电气电子工程系,利物浦,L69 |
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| 基金项目： | 国家自然科学基金(60572100,60872125);;国家自然科学基金委员会与英国皇家学会合作研究项目(60711130233);;深圳市科技三项经费(200704)资助 |
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| 摘 要： | 文中在传统粒子群优化(Particle Swarm Optimization,PSO)算法的基础上,提出了智能单粒子优化算法(Intelligent Single Particle Opti mizer,ISPO).与传统的PSO算法不同,该算法采用了一个粒子在解空间中搜索,粒子的位置矢量被分成一定数量的子矢量,并基于子矢量对粒子进行更新.在子矢量更新过程中,通过分析之前的速度更新情况,引入一种新的学习策略,使粒子在搜索空间中能够动态地调整速度和位置,从而向全局最优靠近.实验表明,此算法对大部分标准复合测试函数都具有很强的全局搜索能力,其寻优能力超过了国际上最近提出的基于PSO的改进算法.
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| 关 键 词： | 智能单粒子优化算法 粒子群优化 子矢量 学习策略 |
A Novel Intelligent Single Particle Optimizer |
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| JI Zhen,ZHOU Jia-Rui,LIAO Hui-Lian,WU Qing-Hua.A Novel Intelligent Single Particle Optimizer[J].Chinese Journal of Computers,2010,33(3). |
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| Authors: | JI Zhen ZHOU Jia-Rui LIAO Hui-Lian WU Qing-Hua |
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| Affiliation: | Texas Instruments DSPs Laboratory/a>;College of Computer Science and Software Engineering/a>;Shenzhen University/a>;Shenzhen 518060;Department of Electrical Engineering and Electronics/a>;The University of Liverpool/a>;Liverpool/a>;L69 3GJ/a>;UK |
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| Abstract: | Intelligent single particle optimizer(ISPO)is proposed based on conventional particle swarm optimization(PSO).ISPO applies a particle,which is different from conventional PSO,to search in the problem space.The whole position vector of particle is split into a certain number of subvectors,and the particle is updated based on these subvectors.During the process of updating each subvector,a novel learning strategy is introduced based on the analysis of previous velocity subvectors,and the particle adjusts its ... |
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| Keywords: | intelligent single particle optimizer particle swarm optimization subvector learning strategy |
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