Application of multiobjective genetic algorithms to the modeling and controller tuning of hard disk drives

This thesis presents the development of two new multiobjective GA optimization techniques and its application to the modeling and controller tuning of the hard disk drives. For the drive modeling, two different approaches using black box and grey box modeling are presented. As multiobjective structu...

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Main Author: Wong, Tze Shyan.
Other Authors: Low, Kay Soon
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/3754
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-3754
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spelling sg-ntu-dr.10356-37542023-07-04T15:01:31Z Application of multiobjective genetic algorithms to the modeling and controller tuning of hard disk drives Wong, Tze Shyan. Low, Kay Soon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation This thesis presents the development of two new multiobjective GA optimization techniques and its application to the modeling and controller tuning of the hard disk drives. For the drive modeling, two different approaches using black box and grey box modeling are presented. As multiobjective structural and parametric search is required for the modeling, we use the Hierarchical Genetic Algorithms (HGA) in conjunction with two newly developed multiobjective GA techniques. Master of Engineering 2008-09-17T09:36:50Z 2008-09-17T09:36:50Z 2000 2000 Thesis http://hdl.handle.net/10356/3754 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Wong, Tze Shyan.
Application of multiobjective genetic algorithms to the modeling and controller tuning of hard disk drives
description This thesis presents the development of two new multiobjective GA optimization techniques and its application to the modeling and controller tuning of the hard disk drives. For the drive modeling, two different approaches using black box and grey box modeling are presented. As multiobjective structural and parametric search is required for the modeling, we use the Hierarchical Genetic Algorithms (HGA) in conjunction with two newly developed multiobjective GA techniques.
author2 Low, Kay Soon
author_facet Low, Kay Soon
Wong, Tze Shyan.
format Theses and Dissertations
author Wong, Tze Shyan.
author_sort Wong, Tze Shyan.
title Application of multiobjective genetic algorithms to the modeling and controller tuning of hard disk drives
title_short Application of multiobjective genetic algorithms to the modeling and controller tuning of hard disk drives
title_full Application of multiobjective genetic algorithms to the modeling and controller tuning of hard disk drives
title_fullStr Application of multiobjective genetic algorithms to the modeling and controller tuning of hard disk drives
title_full_unstemmed Application of multiobjective genetic algorithms to the modeling and controller tuning of hard disk drives
title_sort application of multiobjective genetic algorithms to the modeling and controller tuning of hard disk drives
publishDate 2008
url http://hdl.handle.net/10356/3754
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