Cuckoo Search: State-of-the-Art and Opportunities
Xin-She Yang, Suash Deb

TL;DR
This paper reviews the cuckoo search algorithm, highlighting its key features, recent advancements, various applications, and potential future research directions in optimization.
Contribution
It provides a comprehensive overview of cuckoo search's development, applications, and identifies opportunities for further research and improvements.
Findings
Cuckoo search has been successfully applied across diverse fields.
Recent variants have improved algorithm performance.
The paper identifies promising future research directions.
Abstract
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.
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