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
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;
Conference_Titel :
Management and Service Science (MASS), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6579-8
DOI :
10.1109/ICMSS.2011.5999190
