Land-use Spatial Optimization Model Based on Particle Swarm Optimization

The optimization of land-use structure is the core of optimizing the allocation of land resources, including the optimization of quantity and space. However, traditional methods such as multi-objective programming model, gray system, landscape ecology are very difficult to make the space structure and the quantity structure unified effectively. To avoid the deficiencies mentioned above, this paper brings forward the land-use space optimization model based on particle swarm evolutionary algorithm. The results show that this model can analyze the data of multidimensional discrete decisionspace with good space search features and high accuracy in parallel. It can implement the quantity structure of land in a specific geographical space effectively and realize the optimization of regional land-use.