[1]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(3):476-481.[doi:10.3969/j.issn.1673-4785.201405023]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
10
Number of periods:
2015 3
Page number:
476-481
Column:
学术论文—人工智能基础
Public date:
2015-06-25
- Title:
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Multi-Agent automated negotiation model for E-commerce based on the artificial bee colony algorithm
- Author(s):
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GAO Shan; MA Liang; ZHANG Huizhen
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School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China
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- Keywords:
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E-commerce; automated negotiation; artificial bee colony algorithm (ABC); multi-Agent; negotiation model
- CLC:
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TP301.6;C93
- DOI:
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10.3969/j.issn.1673-4785.201405023
- Abstract:
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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.