An approach based on an evolutionary algorithm for the hysteretic Preisach model is presented. The proposed symbiotic evolutionary algorithm is based on a synergy between Genetic Algorithms 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., CHEN S. S., L., Salvini, A. (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 is presented. The proposed symbiotic evolutionary algorithm is based on a synergy between Genetic Algorithms 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.File in questo prodotto:
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