A Hybrid Firefly Algorithm and Social Spider Algorithm for Multimodal Function

The fast growing complexity of optimization problems has motivated researchers to search for efficient problem solving methods. In this paper, the concept of hybridization is introduced to solve the optimization problems which make the use of concept of exploration and exploitation over search space efficiently. The proposed algorithm is formulated by combining the biological processes of Firefly Algorithm (FA) and Social Spider Algorithm (SSA). The proposed algorithm is tested on various standard benchmark problems and then compared with FA and SSA. The results show that the proposed algorithm performs better than the FA and SSA on most of the benchmark functions.