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A novel hybrid bacteria-chemotaxis spiral-dynamic algorithm with application to modelling of flexible systems.
- Source :
-
Engineering Applications of Artificial Intelligence . Aug2014, Vol. 33, p31-46. 16p. - Publication Year :
- 2014
-
Abstract
- 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. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 09521976
- Volume :
- 33
- Database :
- Academic Search Index
- Journal :
- Engineering Applications of Artificial Intelligence
- Publication Type :
- Academic Journal
- Accession number :
- 96243690
- Full Text :
- https://doi.org/10.1016/j.engappai.2014.04.001