It is often necessary to determine the electrical parameters of hundreds of different motors in an industrial plant for system studies. Electrical parameters can be obtained by actually testing each of the motors, which is undoubtedly a tedious and time consuming task, if not impossible, due to the requirement of continuous operation of motors in the process industry, for example. The determination of the electrical parameters of motors can be accomplished more economically with the help of a new optimization technique called genetic algorithms. This method is widely accepted for its simplicity, ability to converge with minimal input from the user with a short computational time.<<ETX>>