An approach based on an evolutionary algorithm for the Hysteretic Preisach model identification is presented. The proposed Symbiotic Evolutionary Algorithm is based on a synergy between Genetic Algorithm and Bacterial Chemotaxis Algorithm. The synergy allows to perform more accuracy on numerical results and more numerical stability versus the use of a single algorithm. The proposed approach has been validated by experimental hysteresis loops
RIGANTI FULGINEI, F., Salvini, A., Chen, S.S.L. (2007). Symbiotic Evolutionary Algorithm for the Preisach model Identification. INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 25, 681-687.
Symbiotic Evolutionary Algorithm for the Preisach model Identification
RIGANTI FULGINEI, Francesco;SALVINI, Alessandro;
2007-01-01
Abstract
An approach based on an evolutionary algorithm for the Hysteretic Preisach model identification is presented. The proposed Symbiotic Evolutionary Algorithm is based on a synergy between Genetic Algorithm and Bacterial Chemotaxis Algorithm. The synergy allows to perform more accuracy on numerical results and more numerical stability versus the use of a single algorithm. The proposed approach has been validated by experimental hysteresis loopsI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
