SOFTWARE TOOL FOR MODEL AND SOLVE THE MAXIMUM COVERAGE LOCATION PROBLEM, A CASE STUDY: LOCATIONS POLICE OFFICERS

Authors

  • Jenny Fajardo Calderín Department of Artificial Intelligence, Infrastructure, and Systems,Polytechnic Higher Institute José A. Echeverría, CUJAE, Havana
  • Cynthia Porras Nodarse Department of Artificial Intelligence, Infrastructure, and Systems,Polytechnic Higher Institute José A. Echeverría, CUJAE, Havana
  • Leydis Sánchez Yera Department of Artificial Intelligence, Infrastructure, and Systems,Polytechnic Higher Institute José A. Echeverría, CUJAE, Havana
  • Diago E. Estrada Rodríguez Department of Artificial Intelligence, Infrastructure, and Systems,Polytechnic Higher Institute José A. Echeverría, CUJAE, Havana

Keywords:

metaheuristics, maximal coverage location problem, GIS

Abstract

The location of facilities (antennas, ambulances, police patrols, etc.) has been widely study in the literature. The maximal covering location problem aims at locating the facilities in such positions that maximizes certain notion of coverage. The model of the MCLP and the solutions obtained as a result of applying metaheuristics are difficult to understand for non-expert users in the areas of  optimization. In this sense, this paper aims to propose the development of software to model and solve the problem MCLP, as well as data management and visualization of the solutions obtained following the application of metaheuristics algorithms  implemented with the BiCIAM framework. For the management of the problem data we used combinations based on GIS.

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Published

2023-04-28

How to Cite

Fajardo Calderín, J., Porras Nodarse, C., Sánchez Yera, L., & Estrada Rodríguez, D. E. (2023). SOFTWARE TOOL FOR MODEL AND SOLVE THE MAXIMUM COVERAGE LOCATION PROBLEM, A CASE STUDY: LOCATIONS POLICE OFFICERS. Investigación Operacional, 38(2). Retrieved from https://revistas.uh.cu/invoperacional/article/view/4371

Issue

Vol. 38 No. 2 (2017): Special Issue On the interface between Operations Research and Computational Intelligence: Decision and Optimization Mod

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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