A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design

This paper presents a hybrid optimization algorithm referred to as Hybrid spiral dynamics bacterial foraging (HSDBF). The algorithm synergizes spiral adaptive simplified bacterial foraging algorithm (BFA) and spiral dynamics inspired optimization algorithm (SDA). The standard BFA has better exploita...

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Main Authors:	Ahmad Nor Kasruddin, Nasir, Normaniha, Abd Ghani, Mohd Ashraf, Ahmad
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/2927/ http://umpir.ump.edu.my/id/eprint/2927/ http://umpir.ump.edu.my/id/eprint/2927/1/fkee-2012-kasruddin-novel_hybrid_spiral_abs_only_done_upload.pdf

id	ump-2927
recordtype	eprints
spelling	ump-29272018-02-02T07:59:44Z http://umpir.ump.edu.my/id/eprint/2927/ A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Mohd Ashraf, Ahmad TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering This paper presents a hybrid optimization algorithm referred to as Hybrid spiral dynamics bacterial foraging (HSDBF). The algorithm synergizes spiral adaptive simplified bacterial foraging algorithm (BFA) and spiral dynamics inspired optimization algorithm (SDA). The standard BFA has better exploitation strategy while SDA has superior exploration approach and stable convergence when approaching the optimum value. The hybrid algorithm preserves the strengths of BFA and SDA, thus producing better results. Moreover, it has simple structure and involves less computational burden. Several unimodal and multimodal benchmark functions are employed to test the algorithm in determining the global optimum point. Furthermore, the proposed method is applied to a proportional-derivative (PD) controller optimization for a flexible manipulator system (FMS). The results show that HSDBF outperforms BFA in all test functions and successfully optimizes the PD controller. 2012-09-05 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2927/1/fkee-2012-kasruddin-novel_hybrid_spiral_abs_only_done_upload.pdf Ahmad Nor Kasruddin, Nasir and Normaniha, Abd Ghani and Mohd Ashraf, Ahmad (2012) A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design. In: Workshop on Computational Intelligence (UKCI), 2012 12th UK , 5-7 September 2012 , Edinburgh, United Kingdom. pp. 1-7.. http://dx.doi.org/10.1109/UKCI.2012.6335764
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Mohd Ashraf, Ahmad A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design
description	This paper presents a hybrid optimization algorithm referred to as Hybrid spiral dynamics bacterial foraging (HSDBF). The algorithm synergizes spiral adaptive simplified bacterial foraging algorithm (BFA) and spiral dynamics inspired optimization algorithm (SDA). The standard BFA has better exploitation strategy while SDA has superior exploration approach and stable convergence when approaching the optimum value. The hybrid algorithm preserves the strengths of BFA and SDA, thus producing better results. Moreover, it has simple structure and involves less computational burden. Several unimodal and multimodal benchmark functions are employed to test the algorithm in determining the global optimum point. Furthermore, the proposed method is applied to a proportional-derivative (PD) controller optimization for a flexible manipulator system (FMS). The results show that HSDBF outperforms BFA in all test functions and successfully optimizes the PD controller.
format	Conference or Workshop Item
author	Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Mohd Ashraf, Ahmad
author_facet	Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Mohd Ashraf, Ahmad
author_sort	Ahmad Nor Kasruddin, Nasir
title	A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design
title_short	A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design
title_full	A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design
title_fullStr	A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design
title_full_unstemmed	A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design
title_sort	novel hybrid spiral-dynamics bacterial-foraging algorithm for global optimization with application to control design
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/2927/ http://umpir.ump.edu.my/id/eprint/2927/ http://umpir.ump.edu.my/id/eprint/2927/1/fkee-2012-kasruddin-novel_hybrid_spiral_abs_only_done_upload.pdf
first_indexed	2023-09-18T21:56:55Z
last_indexed	2023-09-18T21:56:55Z
_version_	1777414140867903488

A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design

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