Cuckoo Search Based Backcalculation Algorithm for Estimating Layer Properties of Full-Depth Flexible Pavements
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Date
2021
Authors
Öcal, Arda
Pekcan, Onur
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Publisher
Springer
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Abstract
This book highlights the basic concepts of the CS algorithm and its variants, and their use in solving diverse optimization problems in medical and engineering applications. Evolutionary-based meta-heuristic approaches are increasingly being applied to solve complicated optimization problems in several real-world applications. One of the most successful optimization algorithms is the Cuckoo search (CS), which has become an active research area to solve N-dimensional and linear/nonlinear optimization problems using simple mathematical processes. CS has attracted the attention of various researchers, resulting in the emergence of numerous variants of the basic CS with enhanced performance since 2019.
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Keywords
Firefly Algorithm, Optimization, Nature-Inspired Computing, Meta-Heuristics, Cuckoo Search
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Citation
Öcal, Arda; Pekcan, Onur. "Cuckoo Search Based Backcalculation Algorithm for Estimating Layer Properties of Full-Depth Flexible Pavements", Applications of Cuckoo Search Algorithm and its Variants, Switzerland: Springer, 2021, pp. 229-252.
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Applications of Cuckoo Search Algorithm and its Variants
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Start Page
229
End Page
252