Cuckoo Search: State-of-the-Art and Opportunities
It provides a comprehensive overview for researchers and practitioners interested in optimization algorithms, but it is incremental as it focuses on summarizing existing developments.
This paper reviews the cuckoo search algorithm, outlining its key features and variants, and summarizes its state-of-the-art applications across diverse fields, while identifying opportunities for future research.
Since the development of cuckoo search (CS) by Yang and Deb in 2009, CS has been applied in a diverse range of applications. This paper first outlines the key features of the algorithm and its variants, and then briefly summarizes the state-of-the-art developments in many applications. The opportunities for further research are also identified.