Abstract: Among the methods developed for solving the damage identification problem, the use of the conjugate gradient method with the adjoint equation (CGM), also named Variational Approach, has recently been presented as a satisfactory choice to face this inverse problem. Considering structures with degree of freedom (DOF) bigger than 10, the variational approach does not present good results. Stochastic approaches, such as Genetic Algorithms (GA), represent a powerful choice for solving non-trivial problems. The GA approach reduces the chance of converging to local optima, however this approach is very CPU time-consuming. Therefore, the structural damage identification problem will be solved through the use of a hybrid method where the stochastic approach, a Parallel Epidemic Genetic Algorithm (PGA), is firstly employed, reducing the processing time. Concerning the PGA, it is codified considering the island model, and the parallel code is generated using calls to the message passing communication library MPI (Message Passing Interface).