葛宏伟

个人信息Personal Information

教授

博士生导师

硕士生导师

主要任职:计算机科学与技术学院党委书记

性别:男

毕业院校:吉林大学

学位:博士

所在单位:计算机科学与技术学院

学科:计算机应用技术

办公地点:创新园大厦A832

联系方式:hwge@dlut.edu.cn

电子邮箱:gehw@dlut.edu.cn

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A Hierarchical Particle Swarm Optimizer With Random Social Cognition For Large Scale Global Optimization

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论文类型:会议论文

发表时间:2014-08-19

收录刊物:EI、CPCI-S、Scopus

页面范围:256-261

摘要:In this paper, a Hierarchical Particle Swarm Optimizer with Random Social Cognition, briefly expressed as HPSO-RSC, is proposed. During the execution process of HPSO-RSC, the social environment is changed dynamically, and each particle is not only attracted by its previous best particle and the global best particle of the whole population, but also attracted by all other better particles randomly. During the early stage of the execution process, to speed up convergence of the algorithm, the particles are inclined to choose the global best particle as cognition object. On the other hand, during the late stage of the execution process, to keep the diversity of the population, the particles are inclined to choose the particles that better than themselves as cognition object. To solve the large scale global optimization problem, the algorithm is integrated into a cooperative coevolution framework with an efficient variable interaction checking method. Simulated experiments were conducted on the CEC'2008 benchmarks. The result demonstrates that, HPSO-RSC has strong ability to find the global optimum for most of the benchmark problems.