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Nowadays, the weight of the generation of renewable energies has grown spectacularly with regard to other conventional energies. This is due to diverse factors: a bigger environmental concern (Kyoto protocol, white-book in EU, etc.), the raising prices of the traditional fuels, etc. On the other hand, wind power has experienced a bigger grown, among the renewable energies. That is why the development of an effective tool for the design and lay-out of wind farms has a special relevance.This paper present a mix of evolutionary algorithms to look for the optimum integral design of the wind park taking into account all the part involved: number of wind generators, the type and the height of the wind generators, its location, the number and location of substations, the best layout of lowvoltage and high-voltage lines among wind generators, substations and the existing transmission lines, etc.Due to problem complexity, and as a first approach, the global optimization problem has been splitted in two main (uncoupled) parts, first the wind generators lay out and then the network configuration.