ssFPA/DE: an efficient hybrid differential evolution-flower pollination algorithm based approach

Meera Ramadas, Millie Pant, Ajith Abraham, Sushil Kumar

Abstract: Evolutionary algorithm is a field of great interest to many researchers around the world. New algorithms are developed based on biological processes that exist in nature. In addition, different variants of the existing algorithms are also created with researchers working to find the most optimal method. This paper initially introduces Differential Evolution (DE) and Flower Pollination Algorithm (FPA). Subsequently, a description of the hybrid algorithm named ssFPA/DE that uses the search strategy of FPA and DE are explained along with their results.