DocumentCode
503924
Title
Research on Negotiation Support Systems Based on Hybrid Genetic Algorithms
Author
Xiaoqin, Wu ; Yin, Song ; Xiangqin, Xiang ; Lixin, He
Author_Institution
Dept. of Comput. Sci. & Technol., Hefei Univ., Hefei, China
Volume
2
fYear
2009
fDate
19-21 May 2009
Firstpage
429
Lastpage
433
Abstract
The principle of satisfactory-based negotiation is analyzed. A satisfaction-based decision model is set up. This paper presented a decimal-coded hybrid genetic algorithm for bilateral negotiations. The optimal reserved strategy and the population entropy method were adopted in the genetic algorithm. Optimization of the hybrid genetic algorithm and solution to the satisfy-based decision model based on, of which new methods are given. The results of the experiments show that the new method is more efficient and easier to deal with the problem of negotiation than the traditional algorithms. It is fast and precise for negotiation between both parties with satisfactory project.
Keywords
decision making; electronic commerce; genetic algorithms; negotiation support systems; bilateral negotiations; decimal coded hybrid genetic algorithm; electronic commerce; negotiation support systems; optimal reserved strategy; optimization; population entropy method; satisfaction based decision model; Computational modeling; Computer science; Computer simulation; Decision making; Entropy; Genetic algorithms; Helium; Microelectronics; Software algorithms; Software engineering; Negotiation Support Systems; electronic commerce; genetic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, 2009. WCSE '09. WRI World Congress on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3570-8
Type
conf
DOI
10.1109/WCSE.2009.264
Filename
5319628
Link To Document