Design of WebAccess Platform for Virtual Experiment System Based onGenetic Algorithm

Network technology, with the popularity of computer technology and the appearance of virtual instrument technology, as a traditional experimental method and an effective way to supplement and develop virtual experiments in the field of education and other scientific fields, has very broad application prospects. Virtual experiment today has become an important direction in the development of experimental teaching. Genetic Algorithms (GA) works on the principle of natural selection and the natural genetic mechanisms based on an iterative adaptive probabilistic search method to establish the basic idea of Darwin's theory of evolution and Mendelian genetics. It is through simulation of the Darwin's "survival of the fittest" principle that the good incentive structure is excited; Mendelian genetic variation theory by simulation maintains the existing structure in an iterative process, while looking for a better structure, to achieve specific goals of artificial systems optimization. In image reconstruction, all non-redundant information is merged into an image to achieve the improvement of resolution, to achieve better recovery effect than reconstruction of a single image.