Implementation of Evolutionary Computation to Parallel Computers

Abstract

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.