Application of Genetic Algorithm to Spatial Distribution in Urban Planning

Urban planning is a important part of urban construction, spatial distribution is subordinate to urban planning, it is difficult to obtain a satisfactory solution by traditional optimal methods. In view of the factors that influence urban spatial distribution are diverse and dynamic and city needs to keep the balance continuously in the development, genetic algorithm method is selected because it just reflects the dynamic idea of spatial planning. Based on the classical optimization method, a genetic search optimization algorithm in continuous space is presented. The selection of the key parameters is discussed. The calculation results of computational examples with the algorithm proposed are given an application example is analyzed to illustrate the use of the model and to demonstrate its capabilities in determining the optimizing scheme of spatial distribution in urban planning. The algorithm is shown to be steadily convergent at global optimum.