The Analysis and Research of Parallel Genetic Algorithm

被引:0
|
作者
Xue Shengjun [1 ,2 ]
Guo Shaoyong [2 ]
Bai Dongling [2 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Comp & Software Inst, Nanjing, Peoples R China
[2] Wuhan Univ Technol, Sch Comp Sci & Technol, Wuhan, Peoples R China
来源
2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年
关键词
genetic algorithm; parallel genetic algorithm; mixed model; evaluation;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
With the application of the genetic algorithm (GA) deeply developed, the research of parallel genetic algorithm (PGA) and its realization become very important. Because of PGA inner parallel mechanism, its parallel process becomes a very naturally resolvable method. In this paper, four kinds of parallel models of parallel genetic algorithms, such as master-slave model, coarse-grained model, fine-grained model and mixed model, are simply generalized and evaluated. For every model, its characteristics are displayed. As for the existing problem to each model, the concerning parameters are illustrated in order to improve them. Then some main evaluation models of parallel genetic algorithms are presented. At the end, it is shown that parallel genetic algorithms should go on further study in the future.
引用
收藏
页码:5343 / +
页数:2
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