POPMUSIC for the point feature label placement problem

被引:31
|
作者
Alvim, Adriana C. F. [1 ]
Taillard, Eric D. [2 ]
机构
[1] Fed Univ State Rio de Janeiro, Dept Appl Informat, BR-22290240 Rio De Janeiro, Brazil
[2] Univ Appl Sci Western Switzerland, Dept Ind Syst, CH-1401 Yverdon, Switzerland
关键词
Metaheuristics; POPMUSIC; Map labeling; Large-scale optimization; Tabu search;
D O I
10.1016/j.ejor.2007.10.002
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
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 metalieuristics 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. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:396 / 413
页数:18
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