A Novel Hybrid Bacteria-chemotaxis Spiral-dynamic Algorithm with Application to Modelling of Flexible Systems

This paper presents a novel hybrid optimisation algorithm namely HBCSD, which synergises a bacterial foraging algorithm (BFA) and spiral dynamics algorithm (SDA). The main objective of this strategy is to develop an algorithm that is capable to reach a global optimum point at the end of the final so...

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Main Authors:	Ahmad Nor Kasruddin, Nasir, Tokhi, M. O.
Format:	Article
Published:	Elsevier 2014
Subjects:	Q Science (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/7791/ http://umpir.ump.edu.my/id/eprint/7791/ http://umpir.ump.edu.my/id/eprint/7791/

id	ump-7791
recordtype	eprints
spelling	ump-77912018-03-19T05:56:04Z http://umpir.ump.edu.my/id/eprint/7791/ A Novel Hybrid Bacteria-chemotaxis Spiral-dynamic Algorithm with Application to Modelling of Flexible Systems Ahmad Nor Kasruddin, Nasir Tokhi, M. O. Q Science (General) This paper presents a novel hybrid optimisation algorithm namely HBCSD, which synergises a bacterial foraging algorithm (BFA) and spiral dynamics algorithm (SDA). The main objective of this strategy is to develop an algorithm that is capable to reach a global optimum point at the end of the final solution with a faster convergence speed compared to its predecessor algorithms. The BFA is incorporated into the algorithm to act as a global search or exploration phase. The solutions from the exploration phase then feed into SDA, which acts as a local search or exploitation phase. The proposed algorithm is used in dynamic modelling of two types of flexible systems, namely a flexible robot manipulator and a twin rotor system. The results obtained show that the proposed algorithm outperforms its predecessor algorithms in terms of fitness accuracy, convergence speed, and time-domain and frequency-domain dynamic characterisation of the two flexible systems. Elsevier 2014-05-04 Article PeerReviewed Ahmad Nor Kasruddin, Nasir and Tokhi, M. O. (2014) A Novel Hybrid Bacteria-chemotaxis Spiral-dynamic Algorithm with Application to Modelling of Flexible Systems. Engineering Applications of Artificial Intelligence, 33. pp. 31-46. ISSN 0952-1976 http://dx.doi.org/10.1016/j.engappai.2014.04.001 DOI: 10.1016/j.engappai.2014.04.001
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
topic	Q Science (General)
spellingShingle	Q Science (General) Ahmad Nor Kasruddin, Nasir Tokhi, M. O. A Novel Hybrid Bacteria-chemotaxis Spiral-dynamic Algorithm with Application to Modelling of Flexible Systems
description	This paper presents a novel hybrid optimisation algorithm namely HBCSD, which synergises a bacterial foraging algorithm (BFA) and spiral dynamics algorithm (SDA). The main objective of this strategy is to develop an algorithm that is capable to reach a global optimum point at the end of the final solution with a faster convergence speed compared to its predecessor algorithms. The BFA is incorporated into the algorithm to act as a global search or exploration phase. The solutions from the exploration phase then feed into SDA, which acts as a local search or exploitation phase. The proposed algorithm is used in dynamic modelling of two types of flexible systems, namely a flexible robot manipulator and a twin rotor system. The results obtained show that the proposed algorithm outperforms its predecessor algorithms in terms of fitness accuracy, convergence speed, and time-domain and frequency-domain dynamic characterisation of the two flexible systems.
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	A Novel Hybrid Bacteria-chemotaxis Spiral-dynamic Algorithm with Application to Modelling of Flexible Systems
title_short	A Novel Hybrid Bacteria-chemotaxis Spiral-dynamic Algorithm with Application to Modelling of Flexible Systems
title_full	A Novel Hybrid Bacteria-chemotaxis Spiral-dynamic Algorithm with Application to Modelling of Flexible Systems
title_fullStr	A Novel Hybrid Bacteria-chemotaxis Spiral-dynamic Algorithm with Application to Modelling of Flexible Systems
title_full_unstemmed	A Novel Hybrid Bacteria-chemotaxis Spiral-dynamic Algorithm with Application to Modelling of Flexible Systems
title_sort	novel hybrid bacteria-chemotaxis spiral-dynamic algorithm with application to modelling of flexible systems
publisher	Elsevier
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/7791/ http://umpir.ump.edu.my/id/eprint/7791/ http://umpir.ump.edu.my/id/eprint/7791/
first_indexed	2023-09-18T22:04:47Z
last_indexed	2023-09-18T22:04:47Z
_version_	1777414635377393664

A Novel Hybrid Bacteria-chemotaxis Spiral-dynamic Algorithm with Application to Modelling of Flexible Systems

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