This paper demonstrates the applicability of evolutionary algorithms to the problem of motor parameter determination. Motor parameter determination problems can range from high accuracy requirement for motor controlled drives to low accuracy requirements for system studies. The latter problem is addressed here, using both the genetic algorithm and genetic programming. Comparative results are presented.
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