[1]高珊,马良,张惠珍.基于人工蜂群算法的电子商务多Agent自动谈判模型[J].智能系统学报,2015,10(03):476-481.[doi:10.3969/j.issn.1673-4785.201405023]
 GAO Shan,MA Liang,ZHANG Huizhen.Multi-Agent automated negotiation model for E-commerce based on the artificial bee colony algorithm[J].CAAI Transactions on Intelligent Systems,2015,10(03):476-481.[doi:10.3969/j.issn.1673-4785.201405023]
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基于人工蜂群算法的电子商务多Agent自动谈判模型(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第10卷
期数:
2015年03期
页码:
476-481
栏目:
出版日期:
2015-06-25

文章信息/Info

Title:
Multi-Agent automated negotiation model for E-commerce based on the artificial bee colony algorithm
作者:
高珊 马良 张惠珍
上海理工大学 管理学院, 上海 200093
Author(s):
GAO Shan MA Liang ZHANG Huizhen
School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China
关键词:
电子商务自动谈判人工蜂群算法多Agent谈判模型
Keywords:
E-commerceautomated negotiationartificial bee colony algorithm (ABC)multi-Agentnegotiation model
分类号:
TP301.6;C93
DOI:
10.3969/j.issn.1673-4785.201405023
文献标志码:
A
摘要:
由于现有电子商务自动谈判模型在不断动态变化的网络环境中匹配慢、整体效用值低,结合人工蜂群算法的原理及求解流程,给出一种电子商务自动谈判模型.该模型基于多Agent多属性的自动谈判模式,融合符合实际的商务谈判方式,着重将电子商务自动谈判的Agent匹配与人工蜂群算法求解的过程相结合,以快速准确获得使整体利益最大的解.通过求解一个电子采购实例并与其他算法的求解效率进行对比,验证了该模型的有效性.
Abstract:
Since the current E-commerce automated negotiation systems (ANS) have some disadvantages such as slow matching and low overall utility in the dynamic Internet environment, a kind of E-commerce automated negotiation model based on the theory of the artificial bee colony algorithm (ABC) is presented. The model integrates the intelligent business negotiation way based on the multi-Agent and multi-attribute automated negotiation mode. To obtain the solution that maximizes the overall interests quickly and accurately, the model puts emphasis on combining the Agent matching of the E-commerce automated negotiation with the process of the ABC algorithm solution. A solution to an e-procurement was illustrated and compared with the other algorithms in efficiency, validating the effectiveness of the model.

参考文献/References:

[1] FEI Yulian, CHEN Wenjuan. A multi-agent, multi-object and multi-attribute intelligent negotiation model[C]//Fourth International Conference on Fuzzy Systems and Knowledge Discovery. Haikou, China, 2007, 3: 440-446.
[2] 黄京华, 马晖, 赵纯均. 面向电子商务的基本遗传算法的Agent谈判模型[J]. 管理科学学报, 2002, 5(6): 17-23.HUANG Jinghua, MA Jun, ZHAO Chunjun. Multi-agent negotiation model based on genetic algorithm in E-business[J]. Journal of Manegement Sciences in China, 2002, 5(6): 17-23.
[3] ARGONETO P, RENNA P. Production planning, negotiation and coalition integration: A new tool for an innovative e-business model[J]. Robotics and Computer-Integrated Manufacturing, 2010, 26(1): 1-12.
[4] CHHETRI M B, LIN J, GOH S K, et al. A coordinated architecture for the agent-based service level agreement negotiation of web service composition[C]//The Australian Software Engineering Conference. Sydney, Australia, 2006: 90-99.
[5] HUANG C C, LIANG W Y, LAI Y H, et al. The agent-based negotiation process for B2C E-commerce[J]. Expert Systems with Applications, 2010, 37(1): 348-359.
[6] 高珊, 张惠珍, 马良. 元胞人工蜂群算法及其在0-1规划问题中的应用[J]. 数学理论与应用, 2014, 34(1): 83-91.GAO Shan, ZHANG Huizhen, MA Liang. Cellular artificial bee colony algorithm and its application to 0-1 programming problems[J]. Mathematical Theory and Applications, 2014, 34(1): 83-91.
[7] REN Z, ANUMBA C J, UGWU O O. The development of a multi-agent system for construction claims negotiation[J]. Advances in Engineering Software, 2003, 34(11/12): 683-696.
[8] 孙华梅, 李一军, 曹荣增, 等. 基于约束放松的电子商务协同谈判模型[J]. 运筹与管理, 2008, 17(4): 132-137. SUN Huamei, LI Yijun, CAO Rongzeng, et al. Collaborative negotiation model based on relaxative constraints for E-commerce[J]. Operations Research and Management Science, 2008, 17(4): 132-137.
[9] RAHWAN I, KOWALCZYK R, PHAM H H. Intelligent agents for automated one-to-many e-commerce negotiation[J]. Australian Computer Science Communications, 2002, 24(1): 197-204.
[10] BADICA C, GANZHA M, PAPRZYCKI M. Developing a model agent-based e-commerce system[M]//LU Jie, ZHANG Guangquan, RUAN Da. E-service Intelligence. Berlin/Heidelberg: Springer, 2007: 555-578.
[11] 王海, 李一军, 侯新培. 基于Agent的电子商务自动谈判系统研究[J]. 系统工程理论与实践, 2005, 25(11): 14-19. WANG Hai, LI Yijun, HOU Xinpei. E-commerce oriented ANS based on Agent[J]. Systems Engineering—Theory & Practice, 2005, 25(11): 14-19.
[12] 高珊, 张惠珍, 马良. 蜂群算法求解支持模糊QoS约束的电子采购模型[J]. 经济数学, 2014, 31(2): 59-63. GAO Shan, ZHANG Huizhen, MA Liang. Solving E-procurement model based on fuzzy QoS-constraint with bee colony algorithm[J]. Journal of Quantitative Economics, 2014, 31(2): 59-63.

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备注/Memo

备注/Memo:
收稿日期:2014-5-10;改回日期:。
基金项目:国家自然科学基金资助项目(71401106);上海高校一流学科建设计划项目(S1201YLXK);上海高校青年教师培养资助计划项目(SLG12010);上海市教育委员会科研创新项目(14YZ090);高等学校博士学科点专项科研基金联合资助课题(20123120120005).
作者简介:高珊,女,1989年生,硕士研究生,主要研究方向为智能优化、系统工程.曾获美国大学生数学建模竞赛二等奖,全国研究生数学建模竞赛二等奖.发表学术论文6篇.马良,男,1964年生,教授,博士生导师,主要研究方向为系统工程、智能优化.发表学术论文300余篇,出版专著1部,主编教材2部.张惠珍,女,1979年生,副教授,博士,主要研究方向为运筹学、智能优化.发表学术论文20余篇,出版专著1部.
通讯作者:高珊. E-mail: gaoshan1158@126.com.
更新日期/Last Update: 2015-07-15