A novel hybrid bacteria-chemotaxis spiral-dynamic algorithm with application to modelling of flexible systems

• Published in: Engineering applications of artificial intelligence Vol. 33; pp. 31 - 46
• Main Authors: Nasir, A.N.K., Tokhi, M.O.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.08.2014
• Subjects: Algorithms; Bacteria; Bacteria chemotaxis; Dynamical systems; Dynamics; Flexible manipulator; Mathematical models; Modelling; Robots; Searching; Spiral dynamics; System identification; Twin rotor system; Flexible manipulator; System identification; Twin rotor system; Spiral dynamics; Bacteria chemotaxis
• ISSN: 0952-1976; 1873-6769
• DOI: 10.1016/j.engappai.2014.04.001

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.