Urban Landscape Design Optimization Based on Interactive Genetic Algorithm

Aiming at the problem that the traditional landscape model cannot simulate the real landscape in complex environment, a multi gradient neutral landscape model based on interactive genetic algorithm is proposed. In this paper, the mid-point displacement method is used to form the fractal Brownian motion curve, and the multi gradient neutral landscape model is generated according to the spatial autocorrelation parameters with equal interval changes, and the mid-point displacement neutral landscape model is normalized, on the basis of which, the fitness sharing method is used to avoid the premature convergence of the population and ensure the population diversity to the greatest extent; The proportion selection, crossover and mutation operations are used to design the genetic operators, and the interactive genetic algorithm is used to obtain the optimal solution that meets the conditions of neutral landscape model of midpoint displacement. The experimental results show that the proposed model can fully simulate the real landscape in complex environment, and its applicability is strong.