DocumentCode :
401739
Title :
A genetic algorithm approach to Web-based NSS
Author :
Xie, An-shi ; Li, Yi-jun ; Wang, Hai ; Li, Jian-Feng ; Shang, Wei
Author_Institution :
Sch. of Manage., Harbin Inst. of Technol., China
Volume :
3
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
1862
Abstract :
With the significant development of e-commerce, negotiation online has changed from a simulated negotiation experiment to negotiating in reality. WNSS (Web-based negotiation support system) are paid more and more attention by many researchers. This paper presents a new evaluation approach based on genetic algorithms to find acceptable solutions for negotiation. The method provides a framework in which genetic-based learning is applied to a changing problem representation. Experimental results show that the GA performs better than other traditional approaches.
Keywords :
Internet; electronic commerce; genetic algorithms; negotiation support systems; Web-based NSS; Web-based negotiation support system; e-commerce; genetic algorithms approach; genetic-based learning; Algorithm design and analysis; Behavioral science; Communication channels; Decision support systems; Environmental economics; Failure analysis; Game theory; Genetic algorithms; Information analysis; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1259800
Filename :
1259800
Link To Document :
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