期刊文献+

基于遗传算法的面状地理实体聚类 被引量:7

GAs-based Clustering Method for Area Geographical Entities
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摘要 该文提出一种利用遗传算法解决面状地理实体聚类问题的新方法。设计的遗传算法采用整数编码和RARw交叉算子。针对整数编码提出了新的初始种群生成方法和基因多样性度量方法。试验结果表明,该方法能部分改善面状地理实体的聚类质量。 A clustering method for area geographical entities based on GAs is presented in this paper. The designed genetic algorithm selects the integer coding and RARw recombination. A new initial population producing method and a gene diversity measurement method are developed for the integer coding. The calculation results show that the solution quality could be partly improved by this method.
出处 《地理与地理信息科学》 CSSCI CSCD 北大核心 2004年第3期12-16,81,共6页 Geography and Geo-Information Science
关键词 遗传算法 空间聚类 RARw交叉算子 地理实体 整数编码 spatial clustering RARw recombination genetic algorithm
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参考文献13

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