Improvement of the computational efficiency of metaheuristic algorithms for the crack detection of cantilever beams using hybrid methods-Reference-Cited by-同舟云学术

Improvement of the computational efficiency of metaheuristic algorithms for the crack detection of cantilever beams using hybrid methods

Published:2021-05-06 Issue: Volume: Page:1-22
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Firouzi Behnam¹,Abbasi Ahmad¹,Sendur Polat¹^ORCID

Affiliation:

1. Vibrations and Acoustics Laboratory (VAL), Mechanical Engineering Department, Ozyegin University, Istanbul, Turkey

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2021.1919887

Reference51 articles.

1. On the application of Harris hawks optimization (HHO) algorithm to the design of microchannel heat sinks

2. Increasing the robustness of material-specific deep learning models for crack detection across different materials

3. A comprehensive investigation into the performance of optimization methods in spur gear design

4. Structural health monitoring using extremely compressed data through deep learning

5. A hybrid particle swarm–Nelder–Mead optimization method for crack detection in cantilever beams

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