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一种基于超群体的并行遗传算法
引用本文:蒙祖强,蔡自兴. 一种基于超群体的并行遗传算法[J]. 计算机工程与应用, 2001, 37(21): 28-30,33
作者姓名:蒙祖强  蔡自兴
作者单位:中南大学信息科学与工程学院
基金项目:国家自然科学基金资助(编号:69974043),国家博士点基金(编号:99053317),湖南省自然科学基金(编号:99JJY20062)资助
摘    要:文章首次提出了空间交配的慨念,构造了一种基于超群体的并行遗传算法。它把每一子群体(sub-group)看作一个特殊的个体,称为超个体(super-individual);该算法就是对由若干超个体组成的群体———超群体(super-group)施加遗传运算,从而实现遗传算法的并行化。它不但较好地克服了早熟问题,而且开拓遗传算法研究的新方向。最后,给出了实验的对比分析,证实了算法的有效性。

关 键 词:并行遗传算法  空间交配  早熟收敛  孤岛模型
文章编号:1002-8331-(2001)21-0028-03

A Parallel Genetic Algorithm Based on Super-group
Meng Zuqiang Cai Zixing. A Parallel Genetic Algorithm Based on Super-group[J]. Computer Engineering and Applications, 2001, 37(21): 28-30,33
Authors:Meng Zuqiang Cai Zixing
Abstract:This paper is the first to bring out the concept of Spatial Crossover and devises a parallel genetic algorithm based on super-group.And each sub-group is regard as a special individual,named super-individual.The genetic opera-tions of the super-group which consists of some super-individuals,result in parallelization of genetic algorithm.The algo-rithm not only performs well in overcoming the problem of premature convergence,but also carves out a new method of researching genetic algorithm.Experiments are also comparatively analyzed in this paper,which confirm its validity.
Keywords:Parallel Genetic Algorithms   Spatial Crossover  Premature convergence  Isolate model
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