电子学报Issue(2)：230-235,6.DOI:10.3969/j.issn.0372-2112.2014.02.004
透镜成像反学习策略在粒子群算法中的应用
The Application of a Novel OBL Based on Lens Imaging Principle in PSO
摘要
Abstract
By introducing opposition-based learning (OBL) in PSO ,particles are enabled to find an opposite position that is closer to the global optimization solution .However ,OBL only makes a good performance on the initial phrase of the evolution , while at later stages it needs to be combined with other techniques (e .g .Cauchy mutation ) to improve its ability of“exploration” . In this paper ,a novel OBL based on the principle of lens imaging is proposed .It uses two parameters (i .e .,zoom factor and the factor of search radius ) ,which will achieve a better balance between PSO’s“exploration”and“exploitation”abilities .The simula-tion shows that the novel OBL possesses better convergence rate and convergence effect .关键词
反向学习/粒子群算法/透镜成像Key words
opposite-based learning/particle swarm optimization/imaging lenses分类
信息技术与安全科学引用本文复制引用
喻飞,李元香,魏波,徐星,赵志勇..透镜成像反学习策略在粒子群算法中的应用[J].电子学报,2014,(2):230-235,6.基金项目
国家自然科学基金（No ．61070009）；国家科技支撑计划（No ．2012BAH25F02）；江西省自然（青年）科学基金 （）
