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Cuckoo Search Based Backcalculation Algorithm for Estimating Layer Properties of Full-Depth Flexible Pavements

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Date

2021

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Open Access Color

Green Open Access

No

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No
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Average
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Average
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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.

Description

Keywords

Firefly Algorithm, Optimization, Nature-Inspired Computing, Meta-Heuristics, Cuckoo Search

Fields of Science

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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OpenCitations Citation Count
2

Source

Applications of Cuckoo Search Algorithm and its Variants

Volume

Issue

Start Page

229

End Page

252
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CrossRef : 2

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Mendeley Readers : 10

Page Views

323

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Downloads

4

checked on Feb 24, 2026

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