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.
出处
《计算机工程与应用》
CSCD
北大核心
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)
关键词
电子市场
组合客户联盟
遗传算法
Electronic Marketplace,Combinatorial Customer Coalition,Genetic Algorithm