Model of urban land-use spatial optimization based on particle swarm optimization algorithm

The optimization of land-use structure is the core issue of land use planning, including the optimization of quantity and spatial allocation. The existed optimization models such as multi-objective, linear programming, gray system and landscape ecology, etc., are unable to realize quantitative and spatial optimization simultaneously. This paper created a land use spatial optimization model based on the particle swarm optimization algorithm, which had efficient spatial evolution simulate capabilities and robust algorithm. Case study illustrates that this model could be used to stimulate the landscape pattern and its evolution by designing appropriate spatial distribution pattern of particles group, which could integrate the quantity structure optimization into land use spatial evolution simulation.