基于人工蜂群算法的电子商务多Agent自动谈判模型

Multi-Agent automated negotiation model for E-commerce based on the artificial bee colony algorithm

由于现有电子商务自动谈判模型在不断动态变化的网络环境中匹配慢、整体效用值低,结合人工蜂群算法的原理及求解流程,给出一种电子商务自动谈判模型。该模型基于多Agent多属性的自动谈判模式,融合符合实际的商务谈判方式,着重将电子商务自动谈判的Agent匹配与人工蜂群算法求解的过程相结合,以快速准确获得使整体利益最大的解。通过求解一个电子采购实例并与其他算法的求解效率进行对比,验证了该模型的有效性。

Since the current E？commerce automated negotiation systems （ ANS ） have some disadvantages such as slow matching and low overall utility in the dynamic Internet environment, a kind of E？commerce automated negoti？ation model based on the theory of the artificial bee colony algorithm （ ABC） is presented. The model integrates the intelligent business negotiation way based on the multi？Agent and multi？attribute automated negotiation mode. To obtain the solution that maximizes the overall interests quickly and accurately, the model puts emphasis on combi？ning the Agent matching of the E？commerce automated negotiation with the process of the ABC algorithm solution. A solution to an e？procurement was illustrated and compared with the other algorithms in efficiency, validating the ef？fectiveness of the model.