A Comparative Study of Genetic and Firefly Algorithms for Sensor Placement in Structural Health Monitoring
Joint Authors
Li, Hong-Nan
Zhang, Huan
Zhou, Guang-Dong
YI, Ting-Hua
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Optimal sensor placement (OSP) is an important task during the implementation of sophisticated structural health monitoring (SHM) systems for large-scale structures.
In this paper, a comparative study between the genetic algorithm (GA) and the firefly algorithm (FA) in solving the OSP problem is conducted.
To overcome the drawback related to the inapplicability of the FA in optimization problems with discrete variables, some improvements are proposed, including the one-dimensional binary coding system, the Hamming distance between any two fireflies, and the semioriented movement scheme; also, a simple discrete firefly algorithm (SDFA) is developed.
The capabilities of the SDFA and the GA in finding the optimal sensor locations are evaluated using two disparate objective functions in a numerical example with a long-span benchmark cable-stayed bridge.
The results show that the developed SDFA can find the optimal sensor configuration with high reliability.
The comparative study indicates that the SDFA outperforms the GA in terms of algorithm complexity, computational efficiency, and result quality.
The optimization mechanism of the FA has the potential to be extended to a wide range of optimization problems.
American Psychological Association (APA)
Zhou, Guang-Dong& YI, Ting-Hua& Zhang, Huan& Li, Hong-Nan. 2015. A Comparative Study of Genetic and Firefly Algorithms for Sensor Placement in Structural Health Monitoring. Shock and Vibration،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1078188
Modern Language Association (MLA)
Zhou, Guang-Dong…[et al.]. A Comparative Study of Genetic and Firefly Algorithms for Sensor Placement in Structural Health Monitoring. Shock and Vibration No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1078188
American Medical Association (AMA)
Zhou, Guang-Dong& YI, Ting-Hua& Zhang, Huan& Li, Hong-Nan. A Comparative Study of Genetic and Firefly Algorithms for Sensor Placement in Structural Health Monitoring. Shock and Vibration. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1078188
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078188