文章基本信息

标题：The integration of cooperation model and genetic algorithm
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作者：Zheng Zhaobao
期刊名称：Geo-spatial Information Science
印刷版ISSN：1009-5020
电子版ISSN：1993-5153
出版年度：2002
卷号：5
期号：1
页码：1-6
DOI：10.1007/BF02863486
出版社：Taylor and Francis Ltd
摘要：In the photogrammetry, some researcher have applied genetic algorithms in aerial image texture classification and reducing hyper-spectrum remote sensing data. Genetic algorithm can rapidly find the solutions which are close to the optimal solution. But it is not easy to find the optimal solution. In order to solve the problem, a cooperative evolution idea integrating genetic algorithm and ant colony algorithm is presented in this paper. On the basis of the advantages of ant colony algorithm, this paper proposes the method integrating genetic algorithms and ant colony algorithm to overcome the drawback of genetic algorithms. Moreover, the paper takes designing texture classification masks of aerial images as an example to illustrate the integration theory and procedures.
关键词：cooperation model; ant colony algorithm; recognizing; integration