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Weight Optimization of a Truss Structure Using Rao Algorithms and Their Variants Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Model Updating of Frame Structure Using Equilibrium Optimizer (EO) and Cuckoo Search (CS) Algorithms

Authors : S. Tiachacht, S. Khatir, M. Slimani, A. Behtani, C. Le Thanh, M. Abdel Wahab

Published in: Structural Health Monitoring and Engineering Structures

Publisher: Springer Singapore

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Abstract

This paper presents a convergence study and CPU time analysis between equilibrium optimizer (EO) and Cuckoo search (CS) algorithms. Both optimization techniques are used as an inverse problem to calibrate a finite element (FE) model of a frame structure based on measurements. Different iterations and populations to test the accuracy of both optimization techniques are provided for healthy and damaged frame structures. The investigated results have shown that EO had good convergence with less CPU time compared with CS based on the number of populations and iterations selected.

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previous chapter Weight Optimization of a Truss Structure Using Rao Algorithms and Their Variants
next chapter Multilayer Perceptron Neural Network for Damage Identification Based on Dynamic Analysis
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Metadata
Title
Model Updating of Frame Structure Using Equilibrium Optimizer (EO) and Cuckoo Search (CS) Algorithms
Authors
S. Tiachacht
S. Khatir
M. Slimani
A. Behtani
C. Le Thanh
M. Abdel Wahab
Copyright Year
2021
Publisher
Springer Singapore
Book
Structural Health Monitoring and Engineering Structures

Print ISBN: 978-981-16-0944-2

Electronic ISBN: 978-981-16-0945-9

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-16-0945-9_2