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遗传算法中交叉算子的配对策略研究
引用本文:王增强,曾碧. 遗传算法中交叉算子的配对策略研究[J]. 汕头大学学报(自然科学版), 2005, 20(4): 55-58
作者姓名:王增强  曾碧
作者单位:广东工业大学计算机学院,广东,广州,510090
摘    要:提出了一种称为“国王配对”的配对策略来选择进行交叉运算的父母体,在此基础上再执行改进的交叉运算.经过测试,证明国王配对策略比随机配对策略要优越,可以加速遗传算法的进化过程.

关 键 词:遗传算法  交叉算子  国王配对
文章编号:1001-4217(2005)04-0055-04
收稿时间:2005-04-15
修稿时间:2005-04-15

Research on Selecting Crossover Individuals in Genetic Algorithms
WANG Zeng-qiang,ZENG Bi. Research on Selecting Crossover Individuals in Genetic Algorithms[J]. Journal of Shantou University(Natural Science Edition), 2005, 20(4): 55-58
Authors:WANG Zeng-qiang  ZENG Bi
Affiliation:Faeulty of Computer,Guangdong University of Technology, Guaagzhou. 510090, Guangdong, China
Abstract:Genetic algorithms select crossover individuals to make crossover at random.This strategy is blind in selecting crossover individuals to make crossover because it doesn't consider those individuals' fitness.A method named'King Strategy'for selecting crossover individuals is proposed in this paper.It can be proved that the King Strategy is better than Random Strategy by tests.
Keywords:genetic algorithms   crossover operator   King Strategy
本文献已被 CNKI 维普 万方数据 等数据库收录!
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