| 基于适应交叉操作的遗传算法 |
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| 引用本文： | 郭庆.基于适应交叉操作的遗传算法[J].广州大学学报(自然科学版),2007,6(4):61-63. |
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| 作者姓名： | 郭庆 |
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| 作者单位： | 广州大学,数学与信息科学学院,广东,广州,510006 |
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| 摘 要： | 遗传算法以其易于操作和独立于领域知识的特性得到广泛的应用,因此对于遗传算法性能的改进日益成为研究热点.文章从遗传算法中特有的交叉操作出发,提出一种改进的交叉操作,将海明距离和区域操作应用到均匀交叉操作中,提高个体的适应能力,取得较优解,并应用到函数优化问题中加以说明.
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| 关 键 词： | 遗传算法 交叉操作 数据挖掘 |
| 文章编号： | 1671-4229（2007）04-0061-03 |
| 修稿时间： | 2006-12-10 |
Genetic algorithms based on crossover operator |
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| GUO Qing.Genetic algorithms based on crossover operator[J].Journal og Guangzhou University:Natural Science Edition,2007,6(4):61-63. |
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| Authors: | GUO Qing |
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| Institution: | School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China |
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| Abstract: | Genetic algorithms(GA's) has been widely applied because it is easy to operate and free of the field knowledge.For this reason,the improvement of GA's becomes a hot point more and more.Begin with the crossover operator which is the main character of GA's.Present one new way to improve crossover operator which used hamming distance and uniform crossover partly.In this way,the chromosomes performance enhanced and apply it on single-variant function optimization. |
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| Keywords: | genetic algorithm crossover operator data mining |
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