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一种新的伪并行遗传算法
引用本文:吉培荣,赵青,刘鹄,夏平.一种新的伪并行遗传算法[J].广西师范大学学报(自然科学版),2006,24(4):143-146.
作者姓名:吉培荣  赵青  刘鹄  夏平
作者单位:三峡大学,电气信息学院,湖北,宜昌,443002
基金项目:Key Science Program Foundation of Education Department of Hubei Province (B200513001)
摘    要:利用混沌序列的伪随机性,将混沌引入伪并行遗传算法,提出了伪并行混沌遗传算法。对3个检测函数的仿真实验表明该算法能较好地克服早熟现象及收敛速度慢的问题,优于伪并行遗传算法、显著优于标准遗传算法。

关 键 词:遗传算法  混沌优化  伪并行遗传算法
文章编号:1001-6600(2006)04-0143-04
收稿时间:2006-05-31
修稿时间:2006年5月31日

A Novel Pseudo-Parallel Genetic Algorithm
JI Pei-rong,ZHAO Qing,LIU Hu,XIA Ping.A Novel Pseudo-Parallel Genetic Algorithm[J].Journal of Guangxi Normal University(Natural Science Edition),2006,24(4):143-146.
Authors:JI Pei-rong  ZHAO Qing  LIU Hu  XIA Ping
Affiliation:College of Electrical Engineering and Information Science,China Three Gorges University,Yichang 443002,China
Abstract:In this paper,the pseudo-parallel chaotic genetic algorithm is presented by using the property of pseudo-random of chaotic sequence and putting chaos into the pseudo-parallel genetic algorithms.The simulating computation of three testing functions demonstrates that the premature phenomenon can be overcome better and the slow convergence problem can be improved by this algorithm.The presented algorithm is superior to pseudo-parallel genetic algorithms and prominently superior to standard genetic algorithms.
Keywords:genetic algorithms  chaos optimization  pseudo-parallel genetic algorithms
本文献已被 CNKI 维普 万方数据 等数据库收录!
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