University of Tehran/Springer International Journal of Environmental Research 1735-6865 8 4 2014 10 01 A Land-use Spatial Allocation Model Based on Modified Ant Colony Optimization 1115 1126 805 10.22059/ijer.2014.805 EN Y.L. Liu School of Resource & Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China D.W. Tang School of Resource & Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China X.S. Kong School of Resource & Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China Y.F. Liu School of Resource & Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China T.H. Ai School of Resource & Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China Journal Article 2014 10 13 Land-use spatial allocation is a multi-objective collaborative spatial optimization method<br />for rational use of the land use. Based on global search capabilities and the information feedback<br />mechanism of ant colony optimization (ACO), a land-use spatial allocation model (ACO-LA) is<br />proposed. FirstlyFirst, a construction graph is built for modeling the land-use spatial allocation<br />problem. SecondlySecond, the behaviors of artificial ants are improved so that the solution can be<br />foundobtained quickly in the searchingsearch space. Finally, the ant colony generates optimized<br />solutions by reconciling the conflicts between different planning objectives or by setting the relative<br />dominance of different land-use types. Our study focuses on Gaoqiao Town of Fuyang City in<br />Zhejiang Province, China. The model maximizes the land-use suitability and spatial compactness,<br />and minimizes the cost of changing the land use, based on a variety of constraints, e.g., the optimal<br />land-use structure and land-use policies. The results suggest that this model can obtain an optimized<br />land-use spatial pattern from different sets of sub-objective weights and different development<br />scenarios. With the constraint of the land-use structure, the land-use types can be distributed more<br />reasonably by different sets of sub-objective weights. In different development scenarios, the model<br />encourageencourages areas of land-use types in line with the development direction, adapting to<br />meet different development needs by setting the relative dominance of the different land-use types,<br />Wdominance, which is added to the component selection probability Pij. https://ijer.ut.ac.ir/article_805_f9112205873bd35159c01c1060676443.pdf