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

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

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Spiral dynamics; Bacteria chemotaxis; System identification; Flexible manipulator; Twin rotor system
Subjects: Q Science > Q Science (General)
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mr. Ahmad Nor Kasruddin Nasir
Date Deposited: 17 Dec 2014 02:16
Last Modified: 19 Mar 2018 05:56
URI: http://umpir.ump.edu.my/id/eprint/7791
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