A Land-use Spatial Allocation Model Based on Modified Ant Colony Optimization

Land-use spatial allocation is a multi-objective collaborative spatial optimization methodfor rational use of the land use. Based on global search capabilities and the information feedbackmechanism of ant colony optimization (ACO), a land-use spatial allocation model (ACO-LA) isproposed. FirstlyFirst, a construction graph is built for modeling the land-use spatial allocationproblem. SecondlySecond, the behaviors of artificial ants are improved so that the solution can befoundobtained quickly in the searchingsearch space. Finally, the ant colony generates optimizedsolutions by reconciling the conflicts between different planning objectives or by setting the relativedominance of different land-use types. Our study focuses on Gaoqiao Town of Fuyang City inZhejiang Province, China. The model maximizes the land-use suitability and spatial compactness,and minimizes the cost of changing the land use, based on a variety of constraints, e.g., the optimalland-use structure and land-use policies. The results suggest that this model can obtain an optimizedland-use spatial pattern from different sets of sub-objective weights and different developmentscenarios. With the constraint of the land-use structure, the land-use types can be distributed morereasonably by different sets of sub-objective weights. In different development scenarios, the modelencourageencourages areas of land-use types in line with the development direction, adapting tomeet different development needs by setting the relative dominance of the different land-use types,Wdominance, which is added to the component selection probability Pij.