Research On E - Commerce Shopping Route Simulation Based On Ant Colony Algorithm

In e-commerce, consumer shopping behavior is the focus of current research. At present, the main methods to study web shopping behavior is mainly based on the statistical method and the method based on simulation. The statistical method problems is hardly to analyzing the overall behavior of the user on shopping process; simulation method can overcome the problem of statistical method, but unable to show the cross effect of user’s shopping process between consumers and the subjective factors and objective factors.Ant colony algorithm is a bionic optimization algorithm of swarm intelligence behavior of a simulation of nature real ants, ant colony algorithm and some characteristics of electronic commerce consumer shopping behavior has a very good meeting point-Pheromone:(1) through an ant which can representative consumer left pheromone by showing the interaction between consumers;(2) effects of subjective objective factors and integrated user shopping concentration of pheromone. In addition, the distribution, self-organization and positive feedback and so on characteristics of the ant colony algorithm provides an important method to study shopping behavior of electronic commerce.According to the two problems existing in the current user behavior in e-commerce simulation:(1) the consumer does not appear to influence each other;(2) the cross influence of subjective factors and objective factors are lack of performance, This study is based on the ant colony algorithm pheromone showed the effect between the consumer and the subjective and objective factors, Architecture overall research framework of simulation system. Thesis in the second chapter, the current research progress ant colony algorithm, e-commerce and e-commerce consumer behavior simulation of agent are described and summarized; in the third chapter, proposed e-commerce agent simulation framework based on ant colony algorithm; in the fourth chapter, e-commerce sites for drainage and associated marketing issues, e-commerce simulation results are analyzed; finally, in the fifth chapter, the recommendations made e-commerce website operators and summarizes the shortcomings of current research.