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Multi-objective optimization problems: method and application

Self organizing genetic algorithm (SOGA) is a class of heuristic multi-objective optimization method that has high capabilities for solving multiple conflicting objective functions. This paper presents an application of SOGA for optimizing multi-objectives components placement of multi voltage regul...

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Main Authors: Ismail, Fatimah Sham, Yusof, Rubiyah, Waqiyuddin, S. M. M.
Format: Book Section
Published: IEEE 2011
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/29476/
http://dx.doi.org/10.1109/ICMSAO.2011.5775623
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spelling my.utm.294762017-02-04T07:41:35Z http://eprints.utm.my/id/eprint/29476/ Multi-objective optimization problems: method and application Ismail, Fatimah Sham Yusof, Rubiyah Waqiyuddin, S. M. M. TK Electrical engineering. Electronics Nuclear engineering Self organizing genetic algorithm (SOGA) is a class of heuristic multi-objective optimization method that has high capabilities for solving multiple conflicting objective functions. This paper presents an application of SOGA for optimizing multi-objectives components placement of multi voltage regulator (MVR) system on printed circuit board by considering multi-constraint parameters. The simulation results, which are developed based on experimental measurement, show that the SOGA can propose better optimal solution compared to the initial design. IEEE 2011 Book Section PeerReviewed Ismail, Fatimah Sham and Yusof, Rubiyah and Waqiyuddin, S. M. M. (2011) Multi-objective optimization problems: method and application. In: 2011 4th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO). IEEE, Massachusetts, 001-006. ISBN 978-1-4577-0003-3 http://dx.doi.org/10.1109/ICMSAO.2011.5775623 10.1109/ICMSAO.2011.5775623
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ismail, Fatimah Sham
Yusof, Rubiyah
Waqiyuddin, S. M. M.
Multi-objective optimization problems: method and application
description Self organizing genetic algorithm (SOGA) is a class of heuristic multi-objective optimization method that has high capabilities for solving multiple conflicting objective functions. This paper presents an application of SOGA for optimizing multi-objectives components placement of multi voltage regulator (MVR) system on printed circuit board by considering multi-constraint parameters. The simulation results, which are developed based on experimental measurement, show that the SOGA can propose better optimal solution compared to the initial design.
format Book Section
author Ismail, Fatimah Sham
Yusof, Rubiyah
Waqiyuddin, S. M. M.
author_facet Ismail, Fatimah Sham
Yusof, Rubiyah
Waqiyuddin, S. M. M.
author_sort Ismail, Fatimah Sham
title Multi-objective optimization problems: method and application
title_short Multi-objective optimization problems: method and application
title_full Multi-objective optimization problems: method and application
title_fullStr Multi-objective optimization problems: method and application
title_full_unstemmed Multi-objective optimization problems: method and application
title_sort multi-objective optimization problems: method and application
publisher IEEE
publishDate 2011
url http://eprints.utm.my/id/eprint/29476/
http://dx.doi.org/10.1109/ICMSAO.2011.5775623
_version_ 1643648306828541952
score 13.212271

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