Cuckoo Search: Recent Advances and Applications

TL;DR

This paper reviews the cuckoo search algorithm, discussing its fundamental principles, recent advancements, and diverse applications, while analyzing its efficiency and underlying mechanisms.

Contribution

It provides a comprehensive overview of cuckoo search's recent developments, insights into its search mechanisms, and proposes future research directions.

Findings

Cuckoo search is effective for global optimization problems.

The algorithm's efficiency is linked to its search mechanisms.

Potential for further improvements and applications identified.

Abstract

Cuckoo search (CS) is a relatively new algorithm, developed by Yang and Deb in 2009, and CS is efficient in solving global optimization problems. In this paper, we review the fundamental ideas of cuckoo search and the latest developments as well as its applications. We analyze the algorithm and gain insight into its search mechanisms and find out why it is efficient. We also discuss the essence of algorithms and its link to self-organizing systems, and finally we propose some important topics for further research.