scholarly journals A Review and Comparative Study of Firefly Algorithm and its Modified Versions

Author(s):  
Waqar A. Khan ◽  
Nawaf N. Hamadneh ◽  
Surafel L. Tilahun ◽  
Jean M.T. Ngnotchouye
2018 ◽  
Vol 24 (2) ◽  
pp. 359-366 ◽  
Author(s):  
Hong Choon Ong ◽  
Surafel Luleseged Tilahun ◽  
Wai Soon Lee ◽  
Jean Meadard T Ngnotchouye

2018 ◽  
Vol 8 (3) ◽  
pp. 339 ◽  
Author(s):  
Mohamed Louzazni ◽  
Ahmed Khouya ◽  
Khalid Amechnoue ◽  
Alessandro Gandelli ◽  
Marco Mussetta ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Guang-Dong Zhou ◽  
Ting-Hua Yi ◽  
Huan Zhang ◽  
Hong-Nan Li

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.


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