东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2007, Vol. 28 ›› Issue (11): 1636-1639.DOI: -

• 论著 • 上一篇    下一篇

基于GA和Agent组合自动谈判方案的研究

王贵和;姜兴宇;范利敏;王宛山;   

  1. 东北大学机械工程与自动化学院;东北大学机械工程与自动化学院;辽东学院;东北大学机械工程与自动化学院 辽宁沈阳110004;辽宁沈阳110004;辽宁丹东118000;辽宁沈阳110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2007-11-15 发布日期:2013-06-24
  • 通讯作者: Wang, G.-H.
  • 作者简介:-
  • 基金资助:
    辽宁省重大科技攻关项目(2003220025)

On the automatic negotiation scheme combining GA with agent

Wang, Gui-He (1); Jiang, Xing-Yu (1); Fan, Li-Min (2); Wang, Wan-Shan (1)   

  1. (1) School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China; (2) Eastern Liaoning University, Dandong 118003, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2007-11-15 Published:2013-06-24
  • Contact: Wang, G.-H.
  • About author:-
  • Supported by:
    -

RichHTML

0

PDF (PC)

666

摘要： 分析了Agent的性能特点及其工作原理,研究了谈判收益问题;然后对谈判过程进行描述,建立了基于Agent自动谈判数学模型,并对模型中的参数以及自动谈判目标进行分析;提出了用遗传算法对模型进行求解,并对算法的编码方法、参数的设定等进行研究,分析了求解过程,得到了模型的最优解.结果表明,该方法可以对模型不断优化,最终使参与谈判的Agent双方实现双赢,从而证明了该自动谈判方案的正确性.

关键词: 代理商, 自动谈判, 遗传算法, 谈判收益, 最优解

Abstract: To solve the problem of automatic negotiation, the characteristics and operating principle of an agent and the proceeds through negotiation were analyzed. A model based on agent was developed with the process of negotiation described including relevant parameters and goal. A strategy based on genetic algorithm was presented and its coding method and parameter setting and the solution process were studied with an optimum solution given to the model. The results showed that this strategy can optimize continuously the model and enable both agents who negotiated with each other to realize a win-win situation, thus verifying the validity of the scheme of automatic negotiation.

中图分类号: