Paper Title :A Novel Hybrid Metaheuristic Algorithm To Solve Unconstrained Optimization Problems
Author :Souvik Ganguli, Gagandeep Kaur, Prasanta Sarkar
Article Citation :Souvik Ganguli ,Gagandeep Kaur ,Prasanta Sarkar ,
(2016 ) " A Novel Hybrid Metaheuristic Algorithm To Solve Unconstrained Optimization Problems " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 40-43,
Volume-4,Issue-5
Abstract : A novel hybrid algorithm combining Firefly Algorithm (FA) and Flower Pollination Algorithm (FPA) has been
developed in this paper. The proposed algorithm integrates the merits of FA and FPA. FA is used for initialization purpose
while FPA is used to fine tune the solution vector. The switch probability in FPA is made adaptive to compute the hybrid
algorithm. The proposed algorithm is tested on several benchmark functions available in the literature. Numerical results
demonstrate the superiority of the hybrid algorithm over the individual algorithms.
Keywords— Firefly Algorithm (FA), Flower Pollination Algorithm (FPA), Hybrid Metaheuristic Algorithm.
Type : Research paper
Published : Volume-4,Issue-5
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-4563
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Copyright: © Institute of Research and Journals
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Published on 2016-06-04 |
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