| 基于模糊粒子群优化算法的双边多议题协商模型 |
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| 引用本文： | 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. |
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| 作者姓名： | 周松华 |
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| 作者单位： | 井冈山大学电子与信息工程学院,江西吉安 343009 |
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| 基金项目： | 江西省教育厅科学技术研究项目（GJJ13553） |
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| 摘 要： | 针对电子商务应用,提出了一种基于模糊粒子群优化算法的双边多议题协商模型。该模型以追求协商双方联合效用最大化为前提,通过粒子群在对手提议和自身议题理想值域之间进行快速有效搜索出最优解或近似最优解生成反提议;从而促使协商实现"双赢"。实验分析表明,该模型能有效提高协商效率。
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| 关 键 词： | 多Agent系统 自动协商 粒子群算法 |
RESEARCH ON BILATERAL MULTI-ISSUE NEGOTIATION MODEL BASED ON FPSO |
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| ZHOU Song-hua.RESEARCH ON BILATERAL MULTI-ISSUE NEGOTIATION MODEL BASED ON FPSO[J].Journal of Jinggangshan University(Natural Sciences Edition),2014(1):51-54. |
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| Authors: | ZHOU Song-hua |
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| Institution: | ZHOU Song-hua (School of Electronics and Information Engineering, Jinggangsharl University, Ji＇an, Jiangxi 343009, China) |
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| 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. |
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| Keywords: | multi-agent system autonomous negotiation particle swarm optimization |
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