A novel hybrid bacteria-chemotaxis spiral-dynamic algorithm with application to modelling of flexible systems
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 so...
Saved in:
Published in | Engineering applications of artificial intelligence Vol. 33; pp. 31 - 46 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.08.2014
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | 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. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0952-1976 1873-6769 |
DOI: | 10.1016/j.engappai.2014.04.001 |