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Concurrent negotiations based on the associated issues Genetic Algorithm

Author: ZhuChunXi
Tutor: GanZaoBin
School: Huazhong University of Science and Technology
Course: Applied Computer Technology
Keywords: Concurrent negotiations Issues associated with Genetic Algorithms Dynamic weight Case-based reasoning approach Moving average method
CLC: TP18
Type: Master's thesis
Year: 2011
Downloads: 10
Quote: 0
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Abstract


Negotiations in the field of intelligent e-commerce , research work from the simplest single- topic issues of bilateral multilateral development to complex multi- issue negotiation . Negotiation model implementation mechanisms vary, covering the more technical methods such as grid , concurrency , fuzzy logic control method , case-based reasoning technology, game method , genetic algorithm. For multilateral multi-issue negotiations , the existing research work and achieved certain results, but there are also some drawbacks. Most of the research work is not right to inspect the association between topics and issues defining negotiation activities weights are fixed, one-time initial weights specified . Conduct negotiations with the reality for comparison found that the question raised by the negotiating parties often exists between certain correlation , but the process of negotiating activity continued weight issues will occur some fluctuations . Therefore , the existing negotiation model these constraints narrowed the scope of its application . Based on this, give a new multilateral multi-issue negotiation algorithms - genetic algorithms related topics . It not only examines the relevance of the topic , and the weighting factors of dynamic changes into one . By grouping topics intraclass correlation obtained between the groups independent of the pattern ; historical transactions from the use case-based reasoning to find the best match case , the weight change for group basis. In the algorithm design , based on a model constructed concurrent negotiations . Model using case-based reasoning techniques and the moving average method analysis of historical data , looking for users of the history of weight issues recommended values ​​. Decision function and the weights from the user 's current and historical settings recommended values ​​are selected to obtain a final weight effectively . Rules through a given metric weights transition from topic to the group weights. Meanwhile , the design according to the subject method utility utility computing group . Through experimental tests of the algorithm as well as the model system simulation, verification of the design is reasonable, feasible. It not only simplifies the user to deal with minor issues , user better use negotiation system , according to user requirements and can provide the optimal solution in addition to more negotiations outside information, which is more conducive to assist the user decisions.

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