Reducing Building Conflicts in Map Generalization with an Improved PSO Algorithm

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 nec...

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Main Authors: Hesheng Huang, Qingsheng Guo, Yageng Sun, Yuangang Liu
Format: Article
Language:English
Published: MDPI AG 2017-04-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:http://www.mdpi.com/2220-9964/6/5/127
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author Hesheng Huang
Qingsheng Guo
Yageng Sun
Yuangang Liu
author_facet Hesheng Huang
Qingsheng Guo
Yageng Sun
Yuangang Liu
author_sort Hesheng Huang
collection DOAJ
description 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.
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spelling doaj.art-7e74d362c5ad46fa8868c45e1f7e84c82022-12-21T22:33:04ZengMDPI AGISPRS International Journal of Geo-Information2220-99642017-04-016512710.3390/ijgi6050127ijgi6050127Reducing Building Conflicts in Map Generalization with an Improved PSO AlgorithmHesheng Huang0Qingsheng Guo1Yageng Sun2Yuangang Liu3School of Resources and Environmental Science, Wuhan University, Wuhan 430079, ChinaSchool of Resources and Environmental Science, Wuhan University, Wuhan 430079, ChinaWuhan Geomatics Institute, Wuhan 430079, ChinaSchool of Geosciences, Yangtze University, Wuhan 430079, ChinaIn 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.http://www.mdpi.com/2220-9964/6/5/127graphic conflictsdisplacementPSO algorithm
spellingShingle Hesheng Huang
Qingsheng Guo
Yageng Sun
Yuangang Liu
Reducing Building Conflicts in Map Generalization with an Improved PSO Algorithm
ISPRS International Journal of Geo-Information
graphic conflicts
displacement
PSO algorithm
title Reducing Building Conflicts in Map Generalization with an Improved PSO Algorithm
title_full Reducing Building Conflicts in Map Generalization with an Improved PSO Algorithm
title_fullStr Reducing Building Conflicts in Map Generalization with an Improved PSO Algorithm
title_full_unstemmed Reducing Building Conflicts in Map Generalization with an Improved PSO Algorithm
title_short Reducing Building Conflicts in Map Generalization with an Improved PSO Algorithm
title_sort reducing building conflicts in map generalization with an improved pso algorithm
topic graphic conflicts
displacement
PSO algorithm
url http://www.mdpi.com/2220-9964/6/5/127
work_keys_str_mv AT heshenghuang reducingbuildingconflictsinmapgeneralizationwithanimprovedpsoalgorithm
AT qingshengguo reducingbuildingconflictsinmapgeneralizationwithanimprovedpsoalgorithm
AT yagengsun reducingbuildingconflictsinmapgeneralizationwithanimprovedpsoalgorithm
AT yuangangliu reducingbuildingconflictsinmapgeneralizationwithanimprovedpsoalgorithm