The Simulation and Analysis of Image Change with Improved Cellular Automata and Optimization Methods

Some researchers have done the research to improve cellular automata (CA) using many methods such as analytic hierarchy process (AHP), logistic regression (LR) and decision tree (DT). However, there are no the works related to the comparison analysis and optimization discussion with the different algorithms to improve the experiment simulation and models. This paper firstly introduces cellular automata, the researches in this area and so on, comprehensively uses analytic hierarchy process, logistic regression and decision tree models to improve cellular automata, and makes simulation and analysis for the change of the simulation image utilizing the improved algorithms, and then from optimization and relevant aspects it gives some improvement and optimization analysis for the experiment simulation and algorithms.