A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design

A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design

This paper presents a hybrid optimization algorithm, referred to as hybrid spiral dynamics bacterial chemotaxis (HSDBC) algorithm. HSDBC synergizes bacterial foraging algorithm (BFA) chemotaxis strategy and spiral dynamics algorithm (SDA). The original BFA has higher convergence speed while SDA h...

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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:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/2854/
http://umpir.ump.edu.my/id/eprint/2854/1/129-Paper_175.pdf
id ump-2854
recordtype eprints
spelling ump-28542018-02-02T08:01:22Z http://umpir.ump.edu.my/id/eprint/2854/ A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Mohd Ashraf, Ahmad TK Electrical engineering. Electronics Nuclear engineering This paper presents a hybrid optimization algorithm, referred to as hybrid spiral dynamics bacterial chemotaxis (HSDBC) algorithm. HSDBC synergizes bacterial foraging algorithm (BFA) chemotaxis strategy and spiral dynamics algorithm (SDA). The original BFA has higher convergence speed while SDA has better accuracy and stable convergence when approaching the optimum value. This hybrid approach preserves the strengths of BFA and SDA and thus has the capability of producing better results. Moreover, it has simple structure, hence reduced computational cost. Several unimodal and multimodal benchmark functions are employed to test the algorithm in finding the global optimum point. Furthermore, the proposed algorithm is tested in the design of PD controller for a flexible manipulator system. The results show that the HSDBC outperforms SDA and BFA in all test functions and successfully optimizes the PD controller. 2012-09-03 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/2854/1/129-Paper_175.pdf Ahmad Nor Kasruddin, Nasir and Normaniha, Abd Ghani and Mohd Ashraf, Ahmad (2012) A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design. In: UKACC International Conference on Control 2012, 3-5 September 2012 , Cardiff, UK. pp. 753-758..
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
Normaniha, Abd Ghani
Mohd Ashraf, Ahmad
A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design
description This paper presents a hybrid optimization algorithm, referred to as hybrid spiral dynamics bacterial chemotaxis (HSDBC) algorithm. HSDBC synergizes bacterial foraging algorithm (BFA) chemotaxis strategy and spiral dynamics algorithm (SDA). The original BFA has higher convergence speed while SDA has better accuracy and stable convergence when approaching the optimum value. This hybrid approach preserves the strengths of BFA and SDA and thus has the capability of producing better results. Moreover, it has simple structure, hence reduced computational cost. Several unimodal and multimodal benchmark functions are employed to test the algorithm in finding the global optimum point. Furthermore, the proposed algorithm is tested in the design of PD controller for a flexible manipulator system. The results show that the HSDBC outperforms SDA and 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 Chemotaxis Algorithm for Global Optimization with Application to Controller Design
title_short A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design
title_full A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design
title_fullStr A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design
title_full_unstemmed A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design
title_sort novel hybrid spiral dynamics bacterial chemotaxis algorithm for global optimization with application to controller design
publishDate 2012
url http://umpir.ump.edu.my/id/eprint/2854/
http://umpir.ump.edu.my/id/eprint/2854/1/129-Paper_175.pdf
first_indexed 2023-09-18T21:56:49Z
last_indexed 2023-09-18T21:56:49Z
_version_ 1777414134745268224

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