标題：Reducing Building Conflicts in Map Generalization with an Improved PSOAlgorithm

作者：Huang, HS (Huang, Hesheng); Guo, QS (Guo, Qingsheng); Sun, YG (Sun, Yageng); Liu, YG (Liu, Yuangang)

來源出版物：ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION卷：6期：5 文獻編号：127 DOI：來源出版物：ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION卷：6期：5 文獻編号：132 出版年：MAY 2017

摘要：In map generalization, road symbolization and map scale reduction may create spatial conflicts between roads and neighboring buildings. To resolve these conflicts, cartographers often displace the buildings. However, because such displacement sometimes produces secondary spatial conflicts, it is necessary to solve the spatial conflicts iteratively. In this paper, we apply the immune genetic algorithm (IGA) and improved particle swarm optimization (PSO) to building displacement to solve conflicts. The dual-inheritance framework from the cultural algorithm is adopted in the PSO algorithm to optimize the topologic structure of particles. We generate Pareto optimal displacement solutions using the niche Pareto competition mechanism. The results of experiments comparing IGA and the improved PSO show that the improved PSO outperforms IGA; the improved PSO results in fewer graphic conflicts and smaller movements that better satisfy the movement precision requirements.

入藏号：WOS:000404525500002

文獻類型：Article

語種：English

作者關鍵詞： graphic conflicts; displacement; PSO algorithm

擴展關鍵詞： DISPLACEMENT METHOD

通訊作者地址：Guo, QS (reprint author), Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430079, Peoples R China.

電子郵件地址：huanghesheng2010@126.com; guoqingsheng@whu.edu.cn; clarkesun@163.com; liuygis@foxmail.com

地址：

[Huang, Hesheng; Guo, Qingsheng] Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430079, Peoples R China.

[Sun, Yageng] Wuhan Geomat Inst, Wuhan 430079, Peoples R China.

[Liu, Yuangang] Yangtze Univ, Sch Geosci, Wuhan 430079, Peoples R China.

研究方向：Physical Geography; Remote Sensing

ISSN：2220-9964

影響因子：0.371