CA model of optimization allocation for land use spatial structure based on genetic algorithm

  • Authors:

  • Zuohua Miao;Yong Chen;Xiangyang Zeng

  • Affiliations:

  • School of Resource and Environmental Engine, Wuhan University of Science and Technology, Wuhan China;School of Resource and Environmental Engine, Wuhan University of Science and Technology, Wuhan China;School of Resource and Environmental Engine, Wuhan University of Science and Technology, Wuhan China

  • Venue:
  • AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
  • Year:
  • 2011

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Abstract

The optimized allocation for land use spatial structure is not only an important method to promote an effective and intensive use for land resources. In view of the existing model methods, most them lacking researches in the optimization allocation for spatial pattern of land use. In this paper there has been proposed a multi-objectives optimization method based on improved GA, in term of the characteristics of the collection of land use quantity structure and spatial layout. Later in paper the author introduced the crowded degree and the infeasible degree, and put forward an improved strategy to retain the elite and carried out the design and comparison to the concrete algorithm, and designed an improved multi-objectives genetic algorithm. Firstly, the author introduced the feasible solution by the estimation of unit infeasible degree. At the same time, the author mentioned an escalate method for threshold value of satisfied restriction. The improved model can search feasible solution from entire feasible solution space to the best of feasible solution. Secondly, the author introduced the compositor method based on Pareto model to obtain the HgoodH HandH HbadH feasible solution. In order to propitious to maintenance the multiform of genetic colony and overcome the difficulty for confirming the radius of Niche Genetic Algorithms (NGA) based on sharing function, the author introduced the comparatively operator based on crowded degree. The author put forward an improved strategy to retain the elite and carried out the design and comparison to the concrete algorithm, and designed an Improved Multi-objectives Genetic Algorithm. And then construct an optimization model in optimization allocation for land use spatial.