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

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..

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Print ISBN: 978-1-4673-4391-6 Indexed by Scopus DOI : 10.1109/UKCI.2012.6335764
Uncontrolled Keywords: Spiral Dynamics; Bacterial Foraging; Optimization Algorithm; PD control; Flexible Manipulator
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Dr Mohd Ashraf Ahmad
Date Deposited: 05 Nov 2012 03:07
Last Modified: 02 Feb 2018 07:59
URI: http://umpir.ump.edu.my/id/eprint/2927
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