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 …

Disaster situations either natural or made-man caused a large number of deaths and injured
people. Morocco has experienced several disasters recently, the last one was the railway
accident on 16 October 2018, which caused 127 serious injuries and 7 deaths. This large
number was a big problem for the hospital to manage the received victims in right direction,
which caused lives lost and disability. In this article, in collaboration with Mohammed (V)
hospital in Casablanca city in Morocco, we suggested a solution that saves lives and …