Publication:
A Review on Research Trends in using Cuckoo Search Algorithm: Applications and Open Research Challenges
A Review on Research Trends in using Cuckoo Search Algorithm: Applications and Open Research Challenges
Date
2023-01-01
Authors
Safdar K.
Khairul Najmy Abdul Rani
Hasliza A Rahim @ Samsuddin
Siti Julia Rosli
Mohd Aminudin Jamlos
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Research Projects
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Abstract
This paper provides an exclusive understanding of the Cuckoo Search Algorithm (CSA) using a comprehensive review for various optimization problems. CSA is a swarm-based nature inspired, intelligent and metaheuristic approach, which is used to solve complex, single or multi objective optimization problems to provide better solutions with maximum or minimum parameters. It was developed in 2009 by Yang and Deb to emulate the breeding behaviour of cuckoos. Since CSA provides promising solutions to solve real world optimization problems, in recent years there have been introduced several new modified and hybridized CSAs using for different applications. In this regard this article provides a comprehensive survey including recent trends, modifications, open research challenges, applications, and related taxonomies for various optimization problems. The literature of this reviewed paper belongs to the domains of engineering, optimization, and pattern recognition. The aim of this review paper is to provide a detailed overview regarding CSA for possible future directions using the recent contributions.
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Keywords
Cuckoo Search Algorithm | Local Trap Problems | Metaheuristics | Optimization Problems | Swarm Intelligence Algorithms