DOIONLINE

DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-4563

Publish In
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN
Journal Home
Volume Issue
Issue
Volume-4,Issue-5  ( May, 2016 )
Paper Title
A Novel Hybrid Metaheuristic Algorithm To Solve Unconstrained Optimization Problems
Author Name
Souvik Ganguli, Gagandeep Kaur, Prasanta Sarkar
Affilition
Electrical & Instrumentation Engineering Department, Thapar University, Patiala, Punjab, India Electrical Engineering Department, NITTTR Kolkata, West Bengal, India
Pages
40-43
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.
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