Recently, many researchers are focusing their attention on the Evolutionary Computation (EC) methods. EC can provide good solutions for complicated optimization problems although it requires a lot of iterations of calculation. One of the solutions to this problem is to perform EC in parallel. When EC is implemented to parallel computers, it is important to design a parallel model suitable for the architecture of parallel computers. In this report, the parallelization of the genetic algorithms and the simulated annealing are mentioned here.