Reptile Search Algorithm: Theory, Variants, Applications, and Performance Evaluation

Reptile Search Algorithm (RSA) is a recently developed nature-inspired meta-heuristics optimization algorithm inspired by the encircling mechanism, hunting mechanism and social behaviours of crocodiles in nature. Since Abualigah et al. introduced RSA in 2022, it has garnered significant interest fro...

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Bibliographic Details
Published inArchives of computational methods in engineering Vol. 31; no. 1; pp. 521 - 549
Main Authors Sasmal, Buddhadev, Hussien, Abdelazim G., Das, Arunita, Dhal, Krishna Gopal, Saha, Ramesh
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 2024
Springer Nature B.V
Subjects
Applications
Engineering
Functions (mathematics)
Heuristic methods
Mathematical and Computational Engineering
Optimization
Performance evaluation
Reptiles
Search algorithms
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Summary:Reptile Search Algorithm (RSA) is a recently developed nature-inspired meta-heuristics optimization algorithm inspired by the encircling mechanism, hunting mechanism and social behaviours of crocodiles in nature. Since Abualigah et al. introduced RSA in 2022, it has garnered significant interest from researchers and been widely employed to address various optimization challenges across a variety of fields. This is because it has an adequate execution time, an efficient convergence rate, and is more effective than other well-known optimization algorithms. As a result, the objective of this study is to provide an updated survey on the topic. This study provides a comprehensive report of the classical RSA, and its improved variants and their applications in various domains. To adequately analyse RSA, a comprehensive comparison among RSA and its peer NIOAs is performed using mathematical benchmark functions.
ISSN:1134-3060
1886-1784
1886-1784
DOI:10.1007/s11831-023-09990-1