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. © 2007 - IOS Press and the authors. All rights reserved.
SYMBIOTIC EVOLUTIONARY ALGORITHM FOR THE PREISACH HYSTERESIS MODEL IDENTIFICATION
2007
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 loops. © 2007 - IOS Press and the authors. All rights reserved.File in questo prodotto:
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