电子市场中组合客户联盟模型及遗传算法设计  

A Genetic Algorithm for Combinatorial Customer Coalition in Electronic Markets

作　　者：覃俊[1,2] 康立山[1] 陈毓屏[1] 吴仁杰[3] 

机构地区：[1]武汉大学软件工程国家重点实验室 [2]中南民族学院计算机科学系,武汉430074 [3]外经贸部国际电子商务网湖北分部

出　　处：《计算机工程与应用》2003年第35期53-54,59,共3页Computer Engineering and Applications

基　　金：国家自然科学基金(编号:69635030;60073043;70071042)

摘　　要：在电子市场中,客户联盟可以为买卖双方赢得更多利润。该文提出了一个组合顾客联盟模型,可同时描述顾客偏好和商品数量。并针对此复杂的组合优化问题,给出了用遗传算法求解的框架。Customer Coalition is a desirable behavior in order to get more profits both for sellers and for buyers in electronic marketplace,because customer coalition formation allows buyers to enjoy a price discount for each item.A new customer coalition model called combinatorial customer coalition(CCC)is presented.In this model,customer's preference is considered including the multiple items and the quantity of each item for one buyer which has not been studied simultaneous before.Moreover,a genetic algorithm for this model is given which aims to find the optimal customer coalition to gain the biggest coalition value.

关 键 词：电子市场 组合客户联盟 遗传算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]