A hybrid genetic algorithm to size the hospital resources in the case of a massive influx of victims

This paper describes a hybrid approach to size the hospital resources in the cases of a massive influx of victims generated by a disaster situation (natural or made man disaster). This suggested approach based on the genetic algorithm is a blending between the simulation (ARENA) and machine learning (Neural Networks). The first one produces a matrix of theoretical solutions and the second one contributes a solution based on the feedback on experiences. This method provided a reliable and efficient solution based on available resources and on a solutions applied in real cases. The result shows that the genetic algorithm provided a new solution that improves the solutions got by the simulation. Also we made an application as a decision support tool for hospital decision-makers to provide with the needs of resources in the same cases. This work is being carried out in collaboration with the Mohammed 5 hospital center in Casablanca (Morocco).