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Genetic algorithms are general-purposesearch techniques based on the mechanisms of naturalselection and population genetics. They are appealingbecause of their simplicity, extensibility, easyinterfacing possibility and since they need only verylittle knowledge about the problem. This paperattempts to show how genetic algorithm can be usedtogether with PSPICE simulation program todynamically implement some optimization problemsthat can use fitness function derived from a simulationprocess. Particularly, this optimization technique isapplied in the design of a magnetic pulse forminginstallation.