井冈山大学学报（自然科学版）Issue(1)：51-54,4.DOI:10.3969/j.issn.1674-8085.2014.01.011
基于模糊粒子群优化算法的双边多议题协商模型
RESEARCH ON BILATERAL MULTI-ISSUE NEGOTIATION MODEL BASED ON FPSO
摘要
Abstract
An autonomous negotiation model based on fuzzy particle swarm optimization (FPSO) is proposed in the application of E-commerce. The model is used to pursue negotiations joint utility maximization. The win-win negotiation is achieved and the counter proposal is generated based on the optimal solution or approximate optimal solution, which is provided by the quickly and efficiently search of particle swarm optimization between rival proposal and its’ issues ideal. The experimental analysis shows that the model can effectively improves the efficiency of negotiation.关键词
多Agent系统/自动协商/粒子群算法Key words
multi-agent system/autonomous negotiation/particle swarm optimization分类
信息技术与安全科学引用本文复制引用
周松华..基于模糊粒子群优化算法的双边多议题协商模型[J].井冈山大学学报（自然科学版）,2014,(1):51-54,4.基金项目
江西省教育厅科学技术研究项目(GJJ13553) （GJJ13553）
