Title :
Genetic algorithm for automatic negotiation based on agent
Author :
Niu, Xiaotai ; Wang, Su
Author_Institution :
Dept. of Comput. Sci. & Appication, Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou
Abstract :
Negotiation is the effective way of solving dispute in e-commerce. Every side of the negotiation has to make a compromise to achieve a successful trade. This paper establishes a new mathematic model for automatic negotiation based on agents and presents genetic algorithm to solve the multi-objective negotiation problem. The Experiments shows that both sides of the negotiation can get the satisfactory plan by GA method.
Keywords :
electronic commerce; genetic algorithms; multi-agent systems; agent system; automatic negotiation; e-commerce; genetic algorithm; multiobjective negotiation problem; Aerospace industry; Automation; Computer industry; Computer science; Genetic algorithms; Industrial control; Intelligent control; Mathematical model; Mathematics; Web services; Agent; Automatic Negotiation; Genetic Algorithm;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593540
