基于遗传算法的最优客户群挖掘研究

Study on Classic Client Cluster Data Mining Based on Genetic Algorithm

介绍了数据挖掘的基本概念和遗传算法的基本原理,并根据存放在数据库中的商场客户信息,设计遗传算法挖掘最优客户群。算法中采用了整数编码和二进制编码相结合的编码表示方法,杂交算子,变异算子和带有限制条件的适应度函数的构造。最后进行了实例仿真。

This paper explains what is data mining and introduces one of the significant algorithms among data mining technologies--genetic algorithm and its basic theories. Then it designs a classic client cluster data mining algorithm based on genetic algorithm combined with shopping mall database. In the algorithm, the combination of integer code method and binary code method was used to code a Chromosome, Crossover operator, Mutation operator and Fitness function with restrictions also was designed. In the end, it shows the experimental results.