Computer Engineering and Applications ›› 2018, Vol. 54 ›› Issue (20): 253-258.DOI: 10.3778/j.issn.1002-8331.1707-0097

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Application of CA based on improved ant colony algorithm:a case study of land use simulation

LI Li, XING Tingting, WANG Jia   

  1. School of Economy and Management, Hebei University of Technology, Tianjin 300401, China
  • Online:2018-10-15 Published:2018-10-19

基于改进蚁群算法的CA的应用——以土地利用模拟为例

李  立,邢婷婷,王  佳   

  1. 河北工业大学 经济管理学院,天津 300401

Abstract: It is of great importance for simulation to gain transformation rules of cellular automaton. This paper provides a simulation method using cellular automaton. The method improves the classification of rule mining based on ant colony algorithm and takes the transformation rules excavated by this algorithm as the transformation rules of cellular automaton. Taking land use simulation of Wuqing area for example is used to verify that the method is useful. The method can be applied to other classification rules and transformation rules, and can be also applied to other studies of cellular automaton simulation.

Key words: ant colony algorithm, cellular automaton, transformation rule, precision, land use

摘要: 元胞自动机转换规则的获取对模拟至关重要。对蚁群分类规则挖掘算法进行改进,并将该算法挖掘的转换规则作为元胞自动机的转换规则,提供了一种利用元胞自动机进行模拟的方法,以武清区土地利用模拟为例进行实验,表明了方法的有效性。该方法可应用到其他分类规则和转换规则挖掘中,也可应用到元胞自动机模拟的其他研究中。

关键词: 蚁群算法, 元胞自动机, 转换规则, 精度, 土地利用