Multilateral Multi-Issue Negotiation Model of Agent Based on Hybrid Genetic Algorithm

摘要：

In this paper, we propose an multilateral multi-issue negotiation model based on hybrid genetic algorithm. This model dynamically estimates the opponents preference according to the change of its offer in the process of negotiation. Meanwhile the hybrid genetic algorithm is used to optimize the process of negotiation optimization. Experimental analysis shows that this model is efficient and agents can reach an agreement in a short time, while the total utility of all agents approximates the highest social utility.

作者: Yang Zhi Geng Xia

作者单位: School of Business Administration Jiangsu University Zhenjiang, China School of Computer Science & Communication Engineering Jiangsu University Zhenjiang, China

会议类型: 国际会议

会议名称: International Conference on Management and Service Science(2011年第五届管理与服务科学国际会议 MASS 2011)

会议地点: 武汉

会议语种:英文

页码: 1-4

在线出版日期: 2011-08-12（万方平台首次上网日期，不代表论文的发表时间）