Application of Evolutionary Algorithms with Adaptive Mutation to the Identification of Induction Motor Parameters at Standstill

Abstract

Abstract-In this paper the application of evolutionary algorithms to the identification of induction motor equivalent circuit parameters at standstill is presented. In order to improve the time efficiency of the identification procedure, the adaptive mutation mechanism is introduced to the evolutionary algorithm. Few versions of the adaptive mutation mechanisms are investigated and evaluated in simulations. By employing the adaptive mutation the significant reduction of the processing time has been obtained while the required accuracy of the algorithm has not been deteriorated. The results of simulation are verified and confirmed in the experimental tests.

Threshold Selection, Mitosis and Dual Mutation in Cooperative Co-evolution: Application to Medical 3D Tomography

“…σ is directly adapted to local measurements, like fitness [15] or local regularity [16], -σ is tuned depending on some success measurement: in this category fall the famous 1/5 th rule proposed by Schewefel [17,18], -σ is subject to an adaptive pressure itself, it is self-adapted [19]: σ is considered as an additional parameter in the genome, and a log-normal Gaussian law is used to control the "mutation over the mutation".…”