An improved Ant Colony Algorithm Used In Land Optimized Allocation

Abstract

Land optimized allocation is a multi-object optimization, not only an important method to accelerate land intensive use and make land sustainable use come true, but also a hot point that the land science and the management currently faces. How to formulate a scientific and feasible planning and avoid falling into a specific digital game is the key issues to be solved. This paper will focus on the core problem-the optimal allocation of land use, by reviewing the existing model methods, most them focused on the number of land use structure optimization and lacked researches in the optimization allocation for spatial pattern of land use, which caused the planning achievements not to be properly carried out in the space. this paper based on logical ant colony algorithm, builds an improved ant colony algorithm, which combines with the characters of land allocation and GIS, this new optimizing allocation model will guarantee the coherence between the quantity and the space in certain degree. At last, the paper verify the feasibility of this model by comparing with GA. At last, we do experience in zhenji yicheng city, which proves the feasible and valuable of this algorithm.