The Evaluation On Small And Medium-sized Urban Disaster Prevention Space Layout Based On Genetic Algorithm

China is the most badly affected by natural disasters in the world. With the rapid development of economy, urbanization, and society, our study on urban disaster prevention and reduction and other aspects are becoming increasingly important. At the same time, the city planning and construction of urban disaster prevention space is also an important task of city disaster prevention and reduction.This paper selects Yuxi Eshan as an example, making use of GIS, AUTOCAD, etc. to collect and deal with city geographic information, and form a quantitative database. This paper also tries to create a theoretical model of urban disaster prevention space, uses genetic algorithm and ants’algorithm in MATLAB platform to evaluate its current spatial layout. Comparing with the deviation of the theoretical model and the results for the indicators, this paper also evaluates the spatial layout for disaster prevention of Yuxi Eshan, and summarizes the existing problems, giving a series of improvement recommendations for disaster prevention and reduction of Eshan.Based on related research of spatial layout of urban disaster prevention, this study uses heuristic genetic algorithm and ant colony algorithm to evaluate and analyze the spatial layout of urban disaster prevention of Eshan Shuangjiang Street. This study expands the research areas and application of heuristic genetic algorithm, and theoretically enriches related research on spatial layout of small town disaster prevention, distribution, mechanism, evaluation system and enhancement.