DocumentCode
2982692
Title
Multilateral Multi-Issue Negotiation Model of Agent Based on Hybrid Genetic Algorithm
Author
Yang Zhi ; Geng Xia
Author_Institution
Sch. of Bus. Adm., Jiangsu Univ., Zhenjiang, China
fYear
2011
fDate
12-14 Aug. 2011
Firstpage
1
Lastpage
4
Abstract
In this paper, we propose an multilateral multi-issue negotiation model based on hybrid genetic algorithm. This model dynamically estimates the opponent´s preference according to the change of its offer in the process of negotiation. Meanwhile the hybrid genetic algorithm is used to optimize the process of negotiation optimization. Experimental analysis shows that this model is efficient and agents can reach an agreement in a short time, while the total utility of all agents approximates the highest social utility.
Keywords
genetic algorithms; negotiation support systems; software agents; agent total utility; hybrid genetic algorithm; multilateral multi-issue negotiation model; negotiation optimization; social utility; Annealing; Artificial intelligence; Computational modeling; Convergence; Genetic algorithms; Genetics; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science (MASS), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6579-8
Type
conf
DOI
10.1109/ICMSS.2011.5999190
Filename
5999190
Link To Document