Algoritmos genéticos y PSO aplicados a un problema de generación distribuida.

In this report the results of the application of genetic algorithms and PSO (Particle Swarm Optimization) are presented to optimize a problem of distributed generation (DG) of power that must meet certain restrictions. For the implementation of the genetic algorithm toolbox of Matlab it is used and implemented fraction varying parameters such as mutation, population etc. This for comparison with the function fmincon already implemented within the Matlab environment and draw conclusions regarding convergence and error rate between data. The PSO algorithm was implemented taking into account stochastic processes based on luck, defining him intrinsic properties, such as population size, inertia factor etc. [ABSTRACT FROM AUTHOR]