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| 人工鱼群算法与遗传算法融合求解聚类问题研究 | |
| 引用本文： | 陈祥生,梁栋,王会颖.人工鱼群算法与遗传算法融合求解聚类问题研究[J].安徽农业科学,2010,38(36). |
| 作者姓名： | 陈祥生 梁栋 王会颖 |
| 作者单位： | 1. 安徽财贸职业学院电子信息系,安徽合肥,230061;安徽大学电子科学与技术学院,安徽合肥,230039 2. 安徽大学电子科学与技术学院,安徽合肥,230039 3. 安徽财贸职业学院电子信息系,安徽合肥,230061 |
| 基金项目： | 安徽省教育厅自然科学基金项目 |
| 摘 要： | 人工鱼群算法(AFSA)是一种新提出的新型仿生优化算法。遗传算法是一种基于生物自然选择与遗传机理的随机搜索与优化方法。聚类在数据挖掘、统计学和机器学习等很多领域都有广泛应用。聚类问题实质是一个全局优化问题。将遗传算法中的选择和变异融合到人工鱼群算法,提出一种人工鱼群算法与遗传算法的融合算法,并应用于求解聚类问题,结果该算法保持了AFSA算法简单、易实现的特点,仿真试验取得了较好的效果。 |
| 关 键 词： | 人工鱼群算法 遗传算法 聚类 优化 |
A Combination of Artificial Fish Swarm Algorithm and Genetic Algorithm For Solving Clustering Analysis Problem |
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| CHEN Xiang-sheng et al.A Combination of Artificial Fish Swarm Algorithm and Genetic Algorithm For Solving Clustering Analysis Problem[J].Journal of Anhui Agricultural Sciences,2010,38(36). | |
| Authors: | CHEN Xiang-sheng |
| Institution: | CHEN Xiang-sheng et al (Electronic information Department of Anhui Finance & Trade Vocational College,Hefei,Anhui 230061) |
| Abstract: | Artificial fish swarm algorithm(AFSA) is a nove1 bio-inspired optimizing method.The Genetic Algorithm is a random search and optimized solution that mimics the process of natural evolution and genetics.Clustering has been applied to many areas,including data mining,statistics,and machine learning and can be regarded as a global optimization problem.This paper presents an algorithms combination of the artificial fish swarm algorithm and the genetic algorithm by means of combining the selection and mutation f... |
| Keywords: | Artificial fish swarm algorithm Genetic algorithm Clustering Optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |