Bouc-Wen-Baber-Noori model of hysteresis Icon

Bouc-Wen-Baber-Noori model of hysteresis

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

Add a Review
2 Downloads (This Week)
Last Update:
Download Bouc_Wen_Baber_Noori_model_of_hyste…zip
Browse All Files
Linux

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

KEEP ME UPDATED

Write a Review

User Reviews

Be the first to post a review of Bouc-Wen-Baber-Noori model of hysteresis!

Additional Project Details

Languages

English

Intended Audience

Education, End Users/Desktop, Engineering

User Interface

Console/Terminal

Programming Language

C

Registered

2012-11-20

Thanks for helping keep SourceForge clean.

Screenshot instructions:
Windows
Mac
Red Hat Linux   Ubuntu

Click URL instructions:
Right-click on ad, choose "Copy Link", then paste here →
(This may not be possible with some types of ads)

More information about our ad policies
X

Briefly describe the problem (required):

Upload screenshot of ad (required):
Select a file, or drag & drop file here.

Please provide the ad click URL, if possible:

Get latest updates about Open Source Projects, Conferences and News.

Sign up for the SourceForge newsletter:

No, thanks
Screenshots can attract more users to your project.
Features can attract more users to your project.