An Improved Spiral Dynamic Optimization Algorithm with Engineering Application

This paper presents the development of an improved spiral dynamic optimization algorithm with application to nonparametric fuzzy logic modeling of a twin rotor system (TRS). The spiral motion and dynamic step size are generated by a spiral model that produces unique exploration and exploitation stra...

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Main Authors:	Ahmad Nor Kasruddin, Nasir, Tokhi, M. O.
Format:	Article
Language:	English
Published:	IEEE 2015
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/8254/ http://umpir.ump.edu.my/id/eprint/8254/ http://umpir.ump.edu.my/id/eprint/8254/ http://umpir.ump.edu.my/id/eprint/8254/1/An_Improved_Spiral_Dynamic_Optimization_Algorithm_With_Engineering_Application.pdf

id	ump-8254
recordtype	eprints
spelling	ump-82542018-03-19T05:53:32Z http://umpir.ump.edu.my/id/eprint/8254/ An Improved Spiral Dynamic Optimization Algorithm with Engineering Application Ahmad Nor Kasruddin, Nasir Tokhi, M. O. TK Electrical engineering. Electronics Nuclear engineering This paper presents the development of an improved spiral dynamic optimization algorithm with application to nonparametric fuzzy logic modeling of a twin rotor system (TRS). The spiral motion and dynamic step size are generated by a spiral model that produces unique exploration and exploitation strategies of a spiral dynamic algorithm (SDA). However, the algorithm is subjected to settling into local optima at the end of the search process, due to insufficient exploration throughout the search area. An elimination-dispersal strategy of a bacterial foraging algorithm is adopted to solve the problem. The proposed strategy is validated with various benchmark functions and a nonparametric test analysis is performed to evaluate its significant achievement in comparison to the SDA. Moreover, nonlinear dynamic modeling of a TRS in hovering mode is presented and the results show the effectiveness of the proposed algorithm to solve real-world problems. The result of the modeling work is presented in both time-domain and frequency-domain. It shows how the fuzzy model optimization represents the characteristic behavior of the TRS very well. IEEE 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8254/1/An_Improved_Spiral_Dynamic_Optimization_Algorithm_With_Engineering_Application.pdf Ahmad Nor Kasruddin, Nasir and Tokhi, M. O. (2015) An Improved Spiral Dynamic Optimization Algorithm with Engineering Application. IEEE Transactions On Systems, Man, And Cybernetics: Systems, 45 (6). pp. 943-954. ISSN 2168-2216 http://dx.doi.org/10.1109/TSMC.2014.2383995 doi: 10.1109/TSMC.2014.2383995
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. An Improved Spiral Dynamic Optimization Algorithm with Engineering Application
description	This paper presents the development of an improved spiral dynamic optimization algorithm with application to nonparametric fuzzy logic modeling of a twin rotor system (TRS). The spiral motion and dynamic step size are generated by a spiral model that produces unique exploration and exploitation strategies of a spiral dynamic algorithm (SDA). However, the algorithm is subjected to settling into local optima at the end of the search process, due to insufficient exploration throughout the search area. An elimination-dispersal strategy of a bacterial foraging algorithm is adopted to solve the problem. The proposed strategy is validated with various benchmark functions and a nonparametric test analysis is performed to evaluate its significant achievement in comparison to the SDA. Moreover, nonlinear dynamic modeling of a TRS in hovering mode is presented and the results show the effectiveness of the proposed algorithm to solve real-world problems. The result of the modeling work is presented in both time-domain and frequency-domain. It shows how the fuzzy model optimization represents the characteristic behavior of the TRS very well.
format	Article
author	Ahmad Nor Kasruddin, Nasir Tokhi, M. O.
author_facet	Ahmad Nor Kasruddin, Nasir Tokhi, M. O.
author_sort	Ahmad Nor Kasruddin, Nasir
title	An Improved Spiral Dynamic Optimization Algorithm with Engineering Application
title_short	An Improved Spiral Dynamic Optimization Algorithm with Engineering Application
title_full	An Improved Spiral Dynamic Optimization Algorithm with Engineering Application
title_fullStr	An Improved Spiral Dynamic Optimization Algorithm with Engineering Application
title_full_unstemmed	An Improved Spiral Dynamic Optimization Algorithm with Engineering Application
title_sort	improved spiral dynamic optimization algorithm with engineering application
publisher	IEEE
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/8254/ http://umpir.ump.edu.my/id/eprint/8254/ http://umpir.ump.edu.my/id/eprint/8254/ http://umpir.ump.edu.my/id/eprint/8254/1/An_Improved_Spiral_Dynamic_Optimization_Algorithm_With_Engineering_Application.pdf
first_indexed	2023-09-18T22:05:37Z
last_indexed	2023-09-18T22:05:37Z
_version_	1777414688247644160

An Improved Spiral Dynamic Optimization Algorithm with Engineering Application

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