Simulating Spatial Optimization Allocation of Urban Land Use Based on the Integration of Multi-agent System and Particle Swarm Optimization Algorithm

Under the constraint of multi-objective,multi-agent system and particle swarm optimization algorithm,for urban land use allocation with spatial optimization,was developed.The integration algorithm was applied to the simulation of spatial optimization allocation of urban land use in the core areas of Changsha.The allocation results show that the optimization level of each proposed objective is improved to a large extent compared with standard genetic algorithm and particle swarm optimization algorithm,and the model has the advantage of faster convergence rate and higher accuracy.