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POPMUSIC for the point feature label placement problem

Author

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  • Alvim, Adriana C.F.
  • Taillard, Éric D.

Abstract

Point feature label placement is the problem of placing text labels adjacent to point features on a map so as to maximize legibility. The goal is to choose positions for the labels that do not give rise to label overlaps and that minimize obscuration of features. A practical goal is to minimize the number of overlaps while considering cartographic preferences. This article proposes a new heuristic for solving the point feature label placement problem based on the application of the POPMUSIC frame. Computational experiments show that the proposed heuristic outperformed other recent metaheuristics approaches in the literature. Experiments with problem instances involving up to 10 million points show that the computational time of the proposed heuristic increases almost linearly with the problem size. New problem instances based on real data with more than 13,000 labels are proposed.

Suggested Citation

  • Alvim, Adriana C.F. & Taillard, Éric D., 2009. "POPMUSIC for the point feature label placement problem," European Journal of Operational Research, Elsevier, vol. 192(2), pages 396-413, January.
    • Handle: RePEc:eee:ejores:v:192:y:2009:i:2:p:396-413
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    Cited by:

    1. repec:spr:annopr:v:253:y:2017:i:2:d:10.1007_s10479-015-2055-6 is not listed on IDEAS
    2. Rabello, Rômulo Louzada & Mauri, Geraldo Regis & Ribeiro, Glaydston Mattos & Lorena, Luiz Antonio Nogueira, 2014. "A Clustering Search metaheuristic for the Point-Feature Cartographic Label Placement Problem," European Journal of Operational Research, Elsevier, vol. 234(3), pages 802-808.
    3. Zhang, Guoqing & Nishi, Tatsushi & Turner, Sarina D.O. & Oga, Keisuke & Li, Xindan, 2017. "An integrated strategy for a production planning and warehouse layout problem: Modeling and solution approaches," Omega, Elsevier, vol. 68(C), pages 85-94.
    4. repec:eee:ejores:v:267:y:2018:i:2:p:428-438 is not listed on IDEAS

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