Cuckoo Search: A Brief Literature Review
I. Fister Jr., X. S. Yang, D. Fister, I. Fister

TL;DR
This paper provides a comprehensive review of cuckoo search algorithms, summarizing recent literature to facilitate understanding and guide future research in optimization applications.
Contribution
It systematically classifies and summarizes the extensive literature on cuckoo search, highlighting its development and research trends since 2009.
Findings
Cuckoo search has gained significant attention in optimization.
The literature on cuckoo search has expanded across various applications.
Classification of research categories aids future studies.
Abstract
Cuckoo search (CS) was introduced in 2009, and it has attracted great attention due to its promising efficiency in solving many optimization problems and real-world applications. In the last few years, many papers have been published regarding cuckoo search, and the relevant literature has expanded significantly. This chapter summarizes briefly the majority of the literature about cuckoo search in peer-reviewed journals and conferences found so far. These references can be systematically classified into appropriate categories, which can be used as a basis for further research.
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