A multi-objective Spiral Dynamic algorithm and its application for PD design

This paper presents a novel multi-objective Spiral Dynamic Optimization (MOSDA) algorithm. It is an extended version of a single objective type SDA. A Non-dominated sorting (NS) approach from Non-dominated Sorting Genetic Algorithm II (NSGAII) is adopted into SDA to develop its multi-objective (MO)...

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Main Authors:	Ahmad Nor Kasruddin, Nasir, Mohd Ashraf, Ahmad, A. R.A., Azwan, Mohd Falfazli, Mat Jusof
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2017
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/18435/ http://umpir.ump.edu.my/id/eprint/18435/ http://umpir.ump.edu.my/id/eprint/18435/1/A%20Multi-objective%20Spiral%20Dynamic%20Algorithm%20and%20Its%20Application%20for%20PD%20Design.pdf

id	ump-18435
recordtype	eprints
spelling	ump-184352018-07-20T02:27:00Z http://umpir.ump.edu.my/id/eprint/18435/ A multi-objective Spiral Dynamic algorithm and its application for PD design Ahmad Nor Kasruddin, Nasir Mohd Ashraf, Ahmad A. R.A., Azwan Mohd Falfazli, Mat Jusof TA Engineering (General). Civil engineering (General) This paper presents a novel multi-objective Spiral Dynamic Optimization (MOSDA) algorithm. It is an extended version of a single objective type SDA. A Non-dominated sorting (NS) approach from Non-dominated Sorting Genetic Algorithm II (NSGAII) is adopted into SDA to develop its multi-objective (MO) type algorithm. SDA has a good elitism strategy and a simple structure. On the other hand, NS is a fast strategy to develop good Pareto Front (PF) characteristics for MO type algorithm. The proposed algorithm is tested with various benchmark functions used to test a newly developed MO algorithm. A PF graph is presented as a result of the test. Moreover, it is adopted to optimize parameters of Proportional- Derivative (PD) controller for an Inverted Pendulum (IP) system. Time-domain response of the IP is presented to show performance of the optimized controller. Result presented in this paper shows that MOSDA has a better performance in terms of finding PF and solution spread when tested with benchmark functions compared to NSGAII. In terms of its application in solving a real problem, both algorithms successfully optimize the PD and control the system very well. IP controlled by MOSDA- based PD shows better rise time. IEEE 2017-10-05 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/18435/1/A%20Multi-objective%20Spiral%20Dynamic%20Algorithm%20and%20Its%20Application%20for%20PD%20Design.pdf Ahmad Nor Kasruddin, Nasir and Mohd Ashraf, Ahmad and A. R.A., Azwan and Mohd Falfazli, Mat Jusof (2017) A multi-objective Spiral Dynamic algorithm and its application for PD design. In: 8th IEEE Control and System Graduate Research Colloquium, ICSGRC 2017, 4-5 August 2017 , Shah Alam, Malaysia. pp. 1-6.. ISBN 978-153860380-2 https://ieeexplore.ieee.org/document/8070557/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Ahmad Nor Kasruddin, Nasir Mohd Ashraf, Ahmad A. R.A., Azwan Mohd Falfazli, Mat Jusof A multi-objective Spiral Dynamic algorithm and its application for PD design
description	This paper presents a novel multi-objective Spiral Dynamic Optimization (MOSDA) algorithm. It is an extended version of a single objective type SDA. A Non-dominated sorting (NS) approach from Non-dominated Sorting Genetic Algorithm II (NSGAII) is adopted into SDA to develop its multi-objective (MO) type algorithm. SDA has a good elitism strategy and a simple structure. On the other hand, NS is a fast strategy to develop good Pareto Front (PF) characteristics for MO type algorithm. The proposed algorithm is tested with various benchmark functions used to test a newly developed MO algorithm. A PF graph is presented as a result of the test. Moreover, it is adopted to optimize parameters of Proportional- Derivative (PD) controller for an Inverted Pendulum (IP) system. Time-domain response of the IP is presented to show performance of the optimized controller. Result presented in this paper shows that MOSDA has a better performance in terms of finding PF and solution spread when tested with benchmark functions compared to NSGAII. In terms of its application in solving a real problem, both algorithms successfully optimize the PD and control the system very well. IP controlled by MOSDA- based PD shows better rise time.
format	Conference or Workshop Item
author	Ahmad Nor Kasruddin, Nasir Mohd Ashraf, Ahmad A. R.A., Azwan Mohd Falfazli, Mat Jusof
author_facet	Ahmad Nor Kasruddin, Nasir Mohd Ashraf, Ahmad A. R.A., Azwan Mohd Falfazli, Mat Jusof
author_sort	Ahmad Nor Kasruddin, Nasir
title	A multi-objective Spiral Dynamic algorithm and its application for PD design
title_short	A multi-objective Spiral Dynamic algorithm and its application for PD design
title_full	A multi-objective Spiral Dynamic algorithm and its application for PD design
title_fullStr	A multi-objective Spiral Dynamic algorithm and its application for PD design
title_full_unstemmed	A multi-objective Spiral Dynamic algorithm and its application for PD design
title_sort	multi-objective spiral dynamic algorithm and its application for pd design
publisher	IEEE
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/18435/ http://umpir.ump.edu.my/id/eprint/18435/ http://umpir.ump.edu.my/id/eprint/18435/1/A%20Multi-objective%20Spiral%20Dynamic%20Algorithm%20and%20Its%20Application%20for%20PD%20Design.pdf
first_indexed	2023-09-18T22:26:07Z
last_indexed	2023-09-18T22:26:07Z
_version_	1777415977872392192

A multi-objective Spiral Dynamic algorithm and its application for PD design

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