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。
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...
出处
《安徽农业科学》
CAS
北大核心
2010年第36期21068-21071,共4页
Journal of Anhui Agricultural Sciences
基金
安徽省教育厅自然科学基金项目(KJ2008B021)
关键词
人工鱼群算法
遗传算法
聚类
优化
Artificial fish swarm algorithm
Genetic algorithm
Clustering
Optimization
