Bouc-Wen-Baber-Noori model of hysteresis

Compute parameters of the Bouc-Wen-Baber-Noori model of hysteresis

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Description

This toolbox computes the parameters of the Bouc–Wen–Baber–Noori hysteresis model using Multiobjective optimization evolutionary algorithms (MOBEAs). The toolbox uses the NSGA − II algorithm, which is an elitist non–dominated sorting EA. The toolbox uses the original NSGA-II algorithm developed by Prof. Kalyanmoy Deb, which can be download from:

http://www.iitk.ac.in/kangal/codes.shtml

Prof. Deb allowed me to use and post this toolbox.

For further information about the toolbox read the documentation and the following papers:

- Kalyanmoy Deb, Sameer Agrawal, Amrit Pratap, T Meyarivan. "A Fast and Elitist multi-objective Genetic Algorithm: NSGA-II". Journal IEEE Transactions on Evolutionary Computation (IEEE-TEC). 2002. Vol. 6. No. 2. pp. 182-197.

- Gilberto A. Ortiz, Diego A. Alvarez, Daniel Bedoya-Ruiz. "Identification of Bouc-Wen type models using multi-objective optimization algorithms". Computers & Structures. Vol. 114-115. pp. 121-132. 2013.

Bouc-Wen-Baber-Noori model of hysteresis Web Site

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Additional Project Details

Languages

English

Intended Audience

Education, End Users/Desktop, Engineering

User Interface

Console/Terminal

Programming Language

C

Registered

2012-11-20
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