Tabu search application for point features cartographic label placement problem.pdfVIP

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Tabu search application for point features cartographic label placement problem.pdf

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Tabu search application for point features cartographic label placement problem

MIC’99 III Metaheuristics International Conference organized by PUC-Rio - Catholic University of Rio de Janeiro Angra dos Reis, Brazil July 19-22, 1999 MIC’99 - III Metaheuristics International Conference I Table of contents TABU SEARCH APPLICATION FOR POINT FEATURES CARTOGRAPHIC LABEL PLACEMENT PROBLEM Missae Yamamoto, Luiz Antonio Nogueira Lorena and Gilberto Ca?mara 1 Angra dos Reis, Brazil, July 19-22, Brazil PUC-Rio MIC’99 - III Metaheuristics International Conference 1 TABU SEARCH APPLICATION FOR POINT FEATURES CARTOGRAPHIC LABEL PLACEMENT PROBLEM Missae Yamamoto1 , Luiz Anto?nio Nogueira Lorena1 and Gilberto Ca?mara Neto1 1Brazilian Institute of Space Research (INPE) C.P. 515 - CEP 12201-970 - Sa?o Jose? dos Campos - SP - Brazil E-mails : missae@dpi.inpe.br, gilberto@dpi.inpe.br and lorena@lac.inpe.br Abstract: The generation of better label placement configurations in maps is a problem that comes up in automated cartographic production. The objective of a good label placement is to show the geographic position of the features with their corresponding texts clearly, respecting the cartographic conventions, with an esthetic and a harmonious quality when presenting the information. We ap- proached the label placement problem from a combinatorial optimization point of view. Our research consisted in the evaluation of a tabu search (TS) optimization algorithm applied to cartographic label placement. The TS implemented in SCARTA, a cartographic production software, in development by the Image Processing Division (DPI/INPE), proved to be an efficient algorithm, in real and random test cases. When compared with alternative techniques such as simulated annealing, genetic algorithm (GA)with mask and others described in literature, the TS had the best performance in quality. We concluded that TS is a recommended method to solve cartographic label placement problem of point features, due to its simplicity, practicality, efficiency and good performance along with its abi