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Optimization and implementation of a system for allocating services integrated with the Google Maps service

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OR Insight

Abstract

This article presents a system for solving location problems, which is integrated with a WebGIS system accessed via a Web browser and Internet connection. This system is meant to generate the matrix of real distances between clients and facilities. The Optimizer System is applied to the problem of locating collection zones and transmission (facilities), faced by the Brazilian electoral system in order to assist them in making decisions about the best locations for installing such facilities. The purpose of the Electoral Court is to reduce the time spent calculating votes for the election. It is intended to minimize the sum of the total distances traveled, and also the maximum distance traveled by each client. In this example of applicability of the system, we use the p-Median problem and a variation called p-Medianmax with the metaheuristic GRASP.

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References

  • Boente, A. (2004) Livro Programação Web sem mistérios, 1st edn. São Paulo: Brasport.

    Google Scholar 

  • Fu, P. and Sun, J. (2010) Web GIS: Principles and Applications. Redlands, CA: ESRI Press, pp. 7–15.

  • Google. (2010) Google Maps API, http://code.google.com/intl/pt-BR/apis/maps/, accessed 21 September 2011.

  • Painho, M., Peixoto, M. and Cabral, P. (2003) E-learning for GIS Master and Postgraduate Certificate in GIS & Science in Distance Learning of the Instituto Superior de Estatística e Gestão de Informação of the Universidade Nova de Lisboa, IX Conferência Ibero-Americana de SIG, 24–26 September, Cáceres, Spain.

  • Resande, M.G.C. (2001) Greedy randomized adaptive search procedures (GRASP). In: C. Floudas and P.M. Pardalos (eds.) Encyclopedia of Optimization, Vol. 2. Norwell, USA: Kluwer Academic Press, pp. 373–382.

    Google Scholar 

  • Resande, M.G.C. and Werneck, R.F. (2003) On the implementation of a swap-based local search procedure for the p-median problem. In: R.E. Ladner (ed.) Proceedings of the Fifth Workshop on Algorithm Engineering and Experiments (ALENEX’03). Baltimore, MD: SIAM, pp. 119–127.

  • Filho, S. and Silveira, B. (2000) Cartografia Assistida por Computador: Conceitos e Métodos. Belo Horizonte: UFMG.

    Google Scholar 

  • Tribunal Superior Eleitoral (TSE). (2012) História do TSE [online]. Institucional, http://www.tse.jus.br/institucional/o-tse, accessed 12 March 2012.

  • Vinoski, S.C. (1997) Integrating diverse applications within distributed heterogeneous environments. IEEE Communications Magazine. Portland, OR.

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Correspondence to Gilberto Farias de Sousa Filho.

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Impact Statement. This paper presents an optimization system for location problems fed information from a Geographic Information System (Google Maps), serving that public managers can make more accurate decisions on installation of public services to the community.

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Filho, G., Nascimento, I., Correia, J. et al. Optimization and implementation of a system for allocating services integrated with the Google Maps service. OR Insight 25, 254–265 (2012). https://doi.org/10.1057/ori.2012.3

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  • DOI: https://doi.org/10.1057/ori.2012.3

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