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Solving the ambulance location problem in Tijuana-Mexico using a continuous location model.

, , , , and . CEC, page 2631-2638. IEEE, (2015)

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Optimizing the location of ambulances in Tijuana, Mexico., , , , , and . Comput. Biol. Medicine, (2017)Virtual reality applied to traffic accident analysis., , and . Comput. Networks, 30 (20-21): 1907-1914 (1998)Correction of the travel time estimation for ambulances of the red cross Tijuana using machine learning., , , and . Comput. Biol. Medicine, (2021)The Ambulance Location Problem in Tijuana, Mexico., , , , , and . NEO, volume 663 of Studies in Computational Intelligence, page 409-441. Springer, (2015)Solving the ambulance location problem in Tijuana-Mexico using a continuous location model., , , , and . CEC, page 2631-2638. IEEE, (2015)Comparative analysis of relocation strategies for ambulances in the city of Tijuana, Mexico., , , and . Comput. Biol. Medicine, (2020)Metrological Qualification of PD Analysers for Insulation Diagnosis of HVDC and HVAC Grids., , , , , , , , , and 5 other author(s). Sensors, 23 (14): 6317 (July 2023)Improved Bounds for the Symmetric Rendezvous Value on the Line., , , and . Oper. Res., 56 (3): 772-782 (2008)LMI Approximations for Cones of Positive Semidefinite Forms., , and . SIAM J. Optim., 16 (4): 1076-1091 (2006)On the average case performance of some greedy approximation algorithms for the uncapacitated facility location problem., , and . STOC, page 441-449. ACM, (2005)