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微粒群算法优化信息的分组延迟传播模式
引用本文:汪镭,康琦,吴启迪.微粒群算法优化信息的分组延迟传播模式[J].同济大学学报(自然科学版),2005,33(6):809-812.
作者姓名:汪镭  康琦  吴启迪
作者单位:同济大学,电子与信息工程学院,上海,200092
基金项目:国家自然科学基金资助项目(70271035,60104004),国家“九七三”重点基础研究发展规划资助项目(2002CB312202),上海市启明星计划资助项目(03QG14053)
摘    要:在改进型微粒群算法基础上,考虑对寻优空间充分搜索及算法总体收敛的需要,将信息的分组延迟传播模式应用于微粒群算法.首先对微粒群进行具体分组,然后设计了用于微粒群迭代寻优求解的分层延迟通讯模式,最后针对高维多峰函数优化问题进行了数值仿真实验.

关 键 词:分组延迟传播模式  微粒群优化  高维多峰函数寻优
文章编号:0253-374X(2005)06-0809-04

Research on Grouped-and-Delayed Broadcasting Mechanism for Optimum Information in Particle Swarm Optimization
WANG Lei,KANG Qi,WU Qi-di.Research on Grouped-and-Delayed Broadcasting Mechanism for Optimum Information in Particle Swarm Optimization[J].Journal of Tongji University(Natural Science),2005,33(6):809-812.
Authors:WANG Lei  KANG Qi  WU Qi-di
Abstract:The grouped-and-delayed broadcasting mechanism for optimum information is applied to particle swarm optimization to make sufficient search in optimization space and to meet the requirement of general convergence,and the algorithm is improved based on the modified particle algorithm in this paper.First of all,grouping of particle swarm is proceeded concretely;and then the layering broadcasting delayed mechanism is designed and used to the iterative optimization process of particle swarm;finally,the algorithm simulation of multi-dimensional and multi-modal function optimization is performed.
Keywords:grouped-and-delayed broadcasting mechanism  particle swarm optimization  multi-dimensional and multi-modal function optimization
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