Optimization of E-commerce Website Structure based on Particle Swarm Optimization and Genetic Algorithm

Abstract

The use of various algorithm models based on computer platform is a universal and supporting core technology. When the development team or decision maker faces some important and difficult problems, the computer algorithm model can be used to calculate, optimize and solve complex problems, and complete the simulation by model simulation steps. In this paper, through the combination of genetic algorithm and particle swarm optimization, firstly, the optimization method of e-commerce website structure was put forward. Then, the real data was used to check the computation. Finally, the simulation analysis was carried out by simulation software. The simulation results show that it is feasible and reliable to optimize the structure of e-commerce website by using genetic algorithm and particle swarm optimization.