Title :
Improved immune algorithm can support Web-based negotiation
Author :
Wu, Chuan-Sheng ; Zhou, Fang ; Kang, Li-Sun
Author_Institution :
State Key Lab. of Software Eng., Wuhan Univ., China
Abstract :
With the development of e-commerce world wide, it becomes more important to support negotiation on the Web. In this condition, Web-based negotiation support system (WNSS) should provide not only a convenient way of communication for negotiators, but also an acceptable solution unreasonable time to solve confliction. Therefore, in this paper, we design a solution-driven negotiation model that uses immune evolving programming to search for acceptable solution. The advantage of this method is it can avoid the phenomenon of degradation which will slow the searching speed. And this method can also prevent us from being entrapped into local optimal solution. In addition, the computing experiment shows the feasibility and special superiority of this programming method for searching acceptable solution in solution-driven negotiation support system.
Keywords :
Internet; electronic commerce; negotiation support systems; Web-based negotiation support system; e-commerce; immune algorithm; immune programming; Biology; Companies; Degradation; Educational institutions; Immune system; Internet; Laboratories; Marketing and sales; Mathematics; Software engineering;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1380595