Optimization method of urban ecological landscape spatial layout based on improved ant colony algorithm
The optimization process of layout often uses particle swarm optimization algorithm,but due to the lack of calculation of the comprehensive weight of landscape factors,the ecological re-sistance threshold of the optimized landscape is low,and the optimization effect is poor.Therefore,a method for optimizing the spatial layout of urban ecological landscape based on improved ant colony algorithm is proposed.By analyzing and evaluating the quality of urban habitats,the adapta-bility of ecological landscape environments is calculated,the urban ecological landscape pattern in-dex is obtained,and an ecological landscape spatial network is constructed.Combined with the se-lected core ecological source points,the minimum cumulative resistance distance between ecologi-cal source points and the minimum path between all patches are calculated to form a potential eco-logical landscape corridor.Based on the sensitivity of the ecological landscape,the comprehensive weight of landscape factors is determined,and the maximum closure,maximum connectivity and highest connectivity of landscape patches are used as objective functions to construct an optimiza-tion model.An improved ant colony algorithm is introduced to solve it,in order to obtain the best optimization solution.The application results of the example show that the optimized landscape ecological resistance threshold obtained by the proposed method is high,and the spatial layout opti-mization effect is good.
improve ant colony algorithmurban ecological landscapespatial layoutlandscape ecological resistance threshold