An Improved Firefly Algorithm Based on Local Search Method for Solving Global Optimization Problems
International Journal of Management and Fuzzy Systems
Volume 2, Issue 6, December 2016, Pages: 51-57
Received: Dec. 9, 2016; Accepted: Dec. 20, 2016; Published: Mar. 1, 2017
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R. M. Rizk-Allah, Department of Basic Engineering Science, Faculty of Engineering, Minoufia University, Shebin El-Kom, Egypt
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This paper proposes an improved firefly algorithm (IFA)based on local search method for solving globaloptimization problems. The main feature of the proposed algorithm is to improve the solutions quality generated from the fireflies by embedding the local search method. Moreover, the new solutions are generated based on the movement formula of the fireflies that is modified by exponential formula. The exponential formula reduces the randomization parameter so that it decreases gradually as the optimum is approaching. In addition, local search method (LSM) is introduced to improve the solution quality. Finally, the proposed algorithm is tested on several benchmark problems from the usual literature and the numerical results have demonstrated the superiority of the proposed algorithm in finding the global optimal solution.
Firefly Algorithm, Local Search Method, Global Optimization
To cite this article
R. M. Rizk-Allah, An Improved Firefly Algorithm Based on Local Search Method for Solving Global Optimization Problems, International Journal of Management and Fuzzy Systems. Vol. 2, No. 6, 2016, pp. 51-57. doi: 10.11648/j.ijmfs.20160206.11
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This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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