A Multi-lateral Multi-issue Negotiation Protocol Based on Adaptive Genetic Algorithm and its Application in E-commerce

摘要：

To enhance the efficiency of negotiation agents in multi-agent based e-commerce, an Adaptive Genetic Algorithm (AGA) is presented and the algorithm is applied in multi lateral multi-issue simultaneous bidding negotiation protocol. After 1000 times of experiments, Standard Genetic Algorithm (SGA) averagely needs negotiation of 210 runs to gain the optimal result, while the adaptive genetic algorithm averagely needs 187 runs to gain the optimal result The experimental results show the AGA protocol can gain the optimal negotiate result more efficiently in multi-literal multi-issue negotiation.

关键词： e-commerce multi-literal multi-issue negotiation protocol adaptive genetic algorithm

作者: Jing Bo Li Jian

作者单位: School of Computer Beijing University of Posts and Telecommunications Beijing, China Dept of Compute School of Computer Beijing University of Posts and Telecommunications Beijing, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

会议地点: 成都

会议语种:英文

页码: 1167-1170

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）