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| Multi-Lateral Multi-Issue Negotiation Based on Adaptive Differential Evolution Algorithm |
| BI Xiao-Jun, XIAO Jing |
| College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001 |
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Abstract To improve efficiency and stability of the negotiation multi-agent based e-commerce, an adaptive differential evolution (ADE) algorithm is proposed and applied to the multi-lateral multi-issue simultaneous bidding negotiation. The differential evolution (DE) is one of the current best evolutionary algorithm for global optimization over continuous spaces. The comparative experimetal results show that the adaptive DE algorithm can gain the optimal negotiation result more efficiently and more stably than the hybrid genetic algorithm (HGA) in multi-literal multi-issue negotiation.
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Received: 02 April 2010
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2011, Vol. 24 
