A Novel Adaptive Spiral Dynamic Algorithm for Global Optimization

This paper presents a novel adaptive spiral dynamic algorithm for global optimization. Through a spiral model, spiral dynamic algorithm has a balanced exploration and exploitation strategy. Defining suitable value for the radius and displacement in its spiral model may lead the algorithm to converge...

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Main Authors:	Ahmad Nor Kasruddin, Nasir, Tokhi, M. O., Sayidmarie, O., Raja Mohd Taufika, Raja Ismail
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/4231/ http://umpir.ump.edu.my/id/eprint/4231/ http://umpir.ump.edu.my/id/eprint/4231/1/fkee-2013-kasruddin-novel_adaptive_spiral_abs_only.pdf

id	ump-4231
recordtype	eprints
spelling	ump-42312018-03-14T07:43:29Z http://umpir.ump.edu.my/id/eprint/4231/ A Novel Adaptive Spiral Dynamic Algorithm for Global Optimization Ahmad Nor Kasruddin, Nasir Tokhi, M. O. Sayidmarie, O. Raja Mohd Taufika, Raja Ismail TK Electrical engineering. Electronics Nuclear engineering This paper presents a novel adaptive spiral dynamic algorithm for global optimization. Through a spiral model, spiral dynamic algorithm has a balanced exploration and exploitation strategy. Defining suitable value for the radius and displacement in its spiral model may lead the algorithm to converge with high speed. The dynamic step size produced by the model also allows the algorithm to avoid oscillation around the optimum point. However, for high dimension problems, the algorithm may easily get trapped into local optima. This is due to the incorporation of a constant radius and displacement in the model. In order to solve the problem, a novel adaptive formulation is proposed in this paper by varying the radius and displacement of the spiral model. The proposed algorithm is validated with various dimensions of unimodal and multimodal benchmark functions. Furthermore, it is applied to parameter optimization of an autoregressive with exogenous terms dynamic model of a flexible manipulator system. Comparison with the original spiral dynamic algorithm shows that the proposed algorithm has better accuracy. Moreover, the time domain and frequency domain responses of the flexible manipulator model shows that the proposed algorithm outperforms its predecessor algorithm. 2013-09-09 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/4231/1/fkee-2013-kasruddin-novel_adaptive_spiral_abs_only.pdf Ahmad Nor Kasruddin, Nasir and Tokhi, M. O. and Sayidmarie, O. and Raja Mohd Taufika, Raja Ismail (2013) A Novel Adaptive Spiral Dynamic Algorithm for Global Optimization. In: Proceeding of The 13th Annual UK Workshop on Computational Intelligence UKCI 2013, September 9-11, 2013 , University of Surrey, Guildford, United Kingdom. pp. 334-341.. http://www.academia.edu/4471085/A_Novel_Adaptive_Spiral_Dynamic_Algorithm_for_Global_Optimization
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Ahmad Nor Kasruddin, Nasir Tokhi, M. O. Sayidmarie, O. Raja Mohd Taufika, Raja Ismail A Novel Adaptive Spiral Dynamic Algorithm for Global Optimization
description	This paper presents a novel adaptive spiral dynamic algorithm for global optimization. Through a spiral model, spiral dynamic algorithm has a balanced exploration and exploitation strategy. Defining suitable value for the radius and displacement in its spiral model may lead the algorithm to converge with high speed. The dynamic step size produced by the model also allows the algorithm to avoid oscillation around the optimum point. However, for high dimension problems, the algorithm may easily get trapped into local optima. This is due to the incorporation of a constant radius and displacement in the model. In order to solve the problem, a novel adaptive formulation is proposed in this paper by varying the radius and displacement of the spiral model. The proposed algorithm is validated with various dimensions of unimodal and multimodal benchmark functions. Furthermore, it is applied to parameter optimization of an autoregressive with exogenous terms dynamic model of a flexible manipulator system. Comparison with the original spiral dynamic algorithm shows that the proposed algorithm has better accuracy. Moreover, the time domain and frequency domain responses of the flexible manipulator model shows that the proposed algorithm outperforms its predecessor algorithm.
format	Conference or Workshop Item
author	Ahmad Nor Kasruddin, Nasir Tokhi, M. O. Sayidmarie, O. Raja Mohd Taufika, Raja Ismail
author_facet	Ahmad Nor Kasruddin, Nasir Tokhi, M. O. Sayidmarie, O. Raja Mohd Taufika, Raja Ismail
author_sort	Ahmad Nor Kasruddin, Nasir
title	A Novel Adaptive Spiral Dynamic Algorithm for Global Optimization
title_short	A Novel Adaptive Spiral Dynamic Algorithm for Global Optimization
title_full	A Novel Adaptive Spiral Dynamic Algorithm for Global Optimization
title_fullStr	A Novel Adaptive Spiral Dynamic Algorithm for Global Optimization
title_full_unstemmed	A Novel Adaptive Spiral Dynamic Algorithm for Global Optimization
title_sort	novel adaptive spiral dynamic algorithm for global optimization
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/4231/ http://umpir.ump.edu.my/id/eprint/4231/ http://umpir.ump.edu.my/id/eprint/4231/1/fkee-2013-kasruddin-novel_adaptive_spiral_abs_only.pdf
first_indexed	2023-09-18T21:58:42Z
last_indexed	2023-09-18T21:58:42Z
_version_	1777414252930269184

A Novel Adaptive Spiral Dynamic Algorithm for Global Optimization

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