HYPERCUBE MODEL INTEGRATED WITH META-HEURISTICS FOR ANALYSIS OF AN EMERGENCY MEDICAL SYSTEM ON A HIGHWAY

Given the relevance of Emergency Response Services (NCS) on highways, in this work we propose an approach to optimize the operations of an NCS using metaheuristics to modify the configuration of the regions served by the servers. In particular, we aim to assist decision-making in an NCS with regard to the locations of the coverage areas of each server, in order to optimize its performance. The metaheuristics BRKGA (Biased Random-Key Genetic Algorithm) and SA (Simulated Annealing) were implemented incorporating the Hypercube model. In the computational tests, we analyzed how the use of these meta-heuristics interfered in the performance measures and compared the results obtained. The results indicate that the approach can improve the operating efficiency of an NCS.