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改进遗传算法的研究现状分析
引用本文:朱朝艳,王建波,王学志,邵永强.改进遗传算法的研究现状分析[J].吉林水利,2010(7):1-4,10.
作者姓名:朱朝艳  王建波  王学志  邵永强
作者单位:1. 辽宁工业大学土木建筑工程学院,辽宁锦州,121001
2. 吉林省水利水电勘测设计研究院,吉林长春,130021
基金项目:国家自然科学基金,辽宁省教育厅科学技术研究项目 
摘    要:遗传算法是全局优化自适应概率搜索算法,它有智能寻优、鲁棒性等优点,但也存在早收敛、结果不精确等不足。因此许多学者提出了一些改进措施来弥补遗传算法的缺点。本文对近些年来出现的改进遗传算法进行了简要介绍,并对其优缺点进行了评述。

关 键 词:遗传算法  改进遗传算法  变异  收敛

The status quo of improved genetic algorithm
Zhu Chao-yan,Wang Jian-bo,Wang Xue-zhi,Shao Yong-qiang.The status quo of improved genetic algorithm[J].Jilin Water Resources,2010(7):1-4,10.
Authors:Zhu Chao-yan  Wang Jian-bo  Wang Xue-zhi  Shao Yong-qiang
Affiliation:Zhu Chao-yan,Wang Jian-bo,Wang Xue-zhi
Abstract:Genetic Algorithm is a global optimization of the adaptive searching algorithm.It has several advantages including intelligent optimization,robustness and etc.,however it is also insufficient for early convergence and precise results.Therefore,many scholars have made several improvement strategies to eke out the disadvantages of the genetic algorithm.This study makes a brief summary on the genetic algorithm appeared in recent years and discusses its advantages and disadvantages.
Keywords:Genetic algorithm  improved genetic algorithm  variation  convergence
本文献已被 CNKI 维普 万方数据 等数据库收录!
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