An Adaptive Genetic Algorithm and Its Application to Multi-literal Multi-issue Competitive E-commerce
Li Jian① Jing Bo② Yang Yi-xian①
①(Information Security Center, State Key Lab of Network and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China) ②(Dept. of Computer Technology, Beijing Institute of Applied Meteorology, Beijing 100029, China)
Abstract：To make the agents negotiate more efficiently in multi-lateral multi-issue negotiation in multi-agent based competitive e-commerce, an agent negotiation model in competitive environment is presented, and the Adaptive Genetic Algorithm(AGA) is applied to the model to enhance the negotiation efficiency. In the experiments, two kinds of genetic algorithms are used to compare with, they are Standard Genetic Algorithm(SGA) and AGA. After 1000 times of experiments for the two kinds of agents to gain the satisfying result, SGA averagely needs negotiation of 183 runs, while the AGA averagely needs only 152 runs. The experiment results show that the AGA can gain the satisfying negotiation result more efficiently than SGA in competitive multi-lateral multi-issue negotiation.
2008, Vol. 30 
