Cover Image

Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems

Link to publisher's homepage at http://pii.sagepub.com/

Saved in:
Bibliographic Details
Main Authors: Mohd Zakimi, Zakaria, Hishamuddin, Jamaluddin, Robiah, Ahmad, Sayed Mohammad Reza, Loghmanian
Other Authors: mzakimi.zakaria@gmail.com
Format: Working Paper
Language:English
Published: SAGE Publications 2013
Subjects:
Correlation tests
Genetic algorithm
Multi-objective optimization
NSGA-II
System identification
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/26772
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-26772
record_format dspace
spelling my.unimap-267722013-07-17T01:46:24Z Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems Mohd Zakimi, Zakaria Hishamuddin, Jamaluddin Robiah, Ahmad Sayed Mohammad Reza, Loghmanian mzakimi.zakaria@gmail.com Correlation tests Genetic algorithm Multi-objective optimization NSGA-II System identification Link to publisher's homepage at http://pii.sagepub.com/ Modeling input-output data representing a dynamic system is a challenging task when multiple objectives are involved. The developed model needs to be parsimonious yet still adequate. To achieve these goals, two objective functions, i.e. optimum structure and minimum predictive error, need to be satisfied. Most works in system identification only consider one objective function, i.e. minimum predictive error, and the model structure is obtained by trial and error. This paper attempts to establish the needs of a multi-objective optimization algorithm by comparing it with a single-objective optimization algorithm. In this study, two different types of optimization algorithms are used to model a discrete-time system. These are an elitist non-dominated sorting genetic algorithm for multi-objective optimization and a modified genetic algorithm for single-objective optimization. Simulated and real systems data are studied for comparison in terms of model predictive accuracy and model complexity. The results show the advantage of the multi-objective optimization algorithm compared with the single-objective optimization algorithm in developing an adequate and parsimonious model for a discrete-time system 2013-07-17T01:46:24Z 2013-07-17T01:46:24Z 2012-08 Working Paper Institution of Mechanical Engineers, vol. 226(7), 2012, pages 994-1005 0959-6518 http://pii.sagepub.com/content/226/7/994 http://hdl.handle.net/123456789/26772 en Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering SAGE Publications
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Correlation tests
Genetic algorithm
Multi-objective optimization
NSGA-II
System identification
spellingShingle Correlation tests
Genetic algorithm
Multi-objective optimization
NSGA-II
System identification
Mohd Zakimi, Zakaria
Hishamuddin, Jamaluddin
Robiah, Ahmad
Sayed Mohammad Reza, Loghmanian
Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems
description Link to publisher's homepage at http://pii.sagepub.com/
author2 mzakimi.zakaria@gmail.com
author_facet mzakimi.zakaria@gmail.com
Mohd Zakimi, Zakaria
Hishamuddin, Jamaluddin
Robiah, Ahmad
Sayed Mohammad Reza, Loghmanian
format Working Paper
author Mohd Zakimi, Zakaria
Hishamuddin, Jamaluddin
Robiah, Ahmad
Sayed Mohammad Reza, Loghmanian
author_sort Mohd Zakimi, Zakaria
title Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems
title_short Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems
title_full Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems
title_fullStr Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems
title_full_unstemmed Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems
title_sort comparison between multi-objective and single-objective optimization for the modeling of dynamic systems
publisher SAGE Publications
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/26772
_version_ 1643795049957294080
score 13.214268

Similar Items