Convex onion peeling genetic algorithm: An efficient solution to map labeling of point-feature

Wan D. Bae, Shayma Alkobaisi, Petr Vojtěchovský, Sada Narayanappa, Kye Y. Bae

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Map labeling of point-feature is the problem of placing text labels to corresponding point features on a map in a way that minimizes overlaps while satisfying basic rules for the quality. This problem is a critical problem in the applications of cartography and Geographical Information Systems (GIS). In this paper we study the fundamental issues related to map labeling of point-feature and develop a new genetic algorithm to solve this problem. We adopt a data structure called convex onion peeling and utilize it in our proposed Convex Onion Peeling Genetic Algorithm (COPGA) to efficiently manage point features. We evaluated the performance of the proposed algorithm through extensive experiments on both synthetic and real datasets. The experimental results show that our genetic algorithm based on the convex onion peeling structure is an efficient, robust and extensible algorithm for automated map labeling of point-feature.

Original languageEnglish
Title of host publicationAPPLIED COMPUTING 2010 - The 25th Annual ACM Symposium on Applied Computing
Pages892-899
Number of pages8
DOIs
Publication statusPublished - 2010
Event25th Annual ACM Symposium on Applied Computing, SAC 2010 - Sierre, Switzerland
Duration: Mar 22 2010Mar 26 2010

Publication series

NameProceedings of the ACM Symposium on Applied Computing

Other

Other25th Annual ACM Symposium on Applied Computing, SAC 2010
Country/TerritorySwitzerland
CitySierre
Period3/22/103/26/10

Keywords

  • GIS
  • automated map labeling
  • cartography
  • genetic algorithm
  • onion peeling

ASJC Scopus subject areas

  • Software

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