Adaptive life-cycle and viability based paramecium-imitated evolutionary algorithm
WSEAS Transactions on Computers
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The genetic algorithms are being increasingly used in motor parameter estimation because they are based on simple models while offering high accuracy results, stable solutions and high convergence speeds. The proposed algorithm uses the binary tournament parent selection method, a dynamic population table with an elitist strategy and a special 6-point crossover operator. It has been tested against data from three different induction motors. The agreement between the theoretical and calculated values of the parameters is very good and superior to results existing in the literature.