A Rural Land Use Spatial Allocation Model Based on Multi-objective Particle Swarm Optimization Algorithm

We present a multi-objective land use spatial allocation model(MOLUSA) based on particle swarm optimization algorithm in order to obtain the optimal spatial land use solution.The model considers economic benefit,social benefit,ecological benefit and spatial compactness as objectives and takes the optimal land use structure,current land use conditions and land use transition rules into account as constraints.We employed the model to reshuffle land use spatial pattern in Jiayu County in Hubei Province of China.