Paper Title
A Novel Hybrid Metaheuristic Algorithm To Solve Unconstrained Optimization Problems

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.