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共享式全局寻优算法的研究
引用本文:王翠茹,杜鹃,张鑫林.共享式全局寻优算法的研究[J].计算机工程与设计,2007,28(14):3469-3472.
作者姓名:王翠茹  杜鹃  张鑫林
作者单位:华北电力大学计算机科学与技术系 河北保定071003(王翠茹,杜鹃),南方电网公司电力调度通信中心 广东广州510623(张鑫林)
摘    要:首先分析了目前主要用于全局优化的智能算法和群智能算法的特点,针对多极值问题,指出他们相互融合发展的趋势,提出了一种体现大融合思想的共享式全局寻优算法.进行智能优化算法和群智能优化算法有机组合,使它们共享优化信息,协同寻优,从而形成最丰富的寻优机制,达到最强的全局寻优能力.最后通过算例验证了该算法的有效性,实用性.

关 键 词:智能  全局优化  组合  共享  算法  共享式  寻优算法  研究  optimization  algorithm  global  share  有效性  验证  算例  寻优能力  机制  协同寻优  信息  优化算法  有机组合  思想  大融合  趋势  融合发展  多极值问题
文章编号:1000-7024(2007)14-3469-04
修稿时间:2006-12-17

Study on share global optimization algorithm
WANG Cui-ru,DU Juan,ZHANG Xin-lin.Study on share global optimization algorithm[J].Computer Engineering and Design,2007,28(14):3469-3472.
Authors:WANG Cui-ru  DU Juan  ZHANG Xin-lin
Affiliation:1. Department of Computer Science and Technology, North China Electrisity Power University, Baoding 071003, China; 2. Dispatch and Communication Centre, China Southern Power Grid, Guangzhou 510623, China
Abstract:The characteristic of current intelligent algorithms and group intelligence algorithms is analyzed,which are mainly used in the global optimization.In view of the multi-minimum problem,the mutual amalgamation of development tendency is pointed out,the sharing global algorithm which manifesting the big amalgamation thought is proposed.Also present intelligent algorithms and group in-telligence optimization algorithms organically together and made them share the optimized information are combined,which optimize coordinately,thus form the richest optimization mechanism and achieve the strongest global optimization ability is achieved.Finally an example is showed to confirm the validity of this algorithm.
Keywords:intelligent  global opimization  group  share  algorithm
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