The combined social engineering particle swarm optimization for real-world engineering problems: A case study of model-based structural health monitoring

NF Alkayem, M Cao, L Shen, R Fu, D Šumarac - Applied Soft Computing, 2022 - Elsevier
Structural health monitoring (SHM) is a substantial research direction in structural
engineering being scrutinized in recent years due to its significance in ensuring structural …

Novel optimized crow search algorithm for feature selection

B Samieiyan, P MohammadiNasab, MA Mollaei… - Expert Systems with …, 2022 - Elsevier
Feature selection techniques have been presented to allow us to choose a small subset of
the original components' relevant features by removing irrelevant or redundant features …

Inverse analysis of structural damage based on the modal kinetic and strain energies with the novel oppositional unified particle swarm gradient-based optimizer

NF Alkayem, L Shen, T Al-hababi, X Qian, M Cao - Applied Sciences, 2022 - mdpi.com
Structural damage inspection is a key structural engineering technique that strives for
ensuring structural safety. In this regard, one of the major intelligent approaches is the …

Enhanced vibrating particles system algorithm for damage identification of truss structures

A Kaveh, SR Hoseini Vaez, P Hosseini - Scientia Iranica, 2019 - scientiairanica.sharif.edu
Vibrating particles system (VPS) optimization is a recently developed metaheuristic
algorithm for optimization. This algorithm is inspired by the free vibration of freedom systems' …

Tuning metaheuristic algorithms using mixture design: Application of sunflower optimization for structural damage identification

GF Gomes, FA de Almeida - Advances in Engineering Software, 2020 - Elsevier
This paper presents an efficient inverse global optimization approach for damage
identification of plate-like structures. In this approach, the damage identification process is …

An effective method for damage assessment based on limited measured locations in skeletal structures

P Ghannadi, SS Kourehli - Advances in Structural …, 2021 - journals.sagepub.com
This article proposes a new damage detection method using Modal Test Analysis Model and
artificial neural networks. A challenge in damage detection problems is lack of measured …

A novel model order reduction-based two-stage damage detection paradigm for trusses using time–history acceleration

KD Dang, NH Nguyen, S Lee, VH Luong, TA Le… - … in Engineering Software, 2023 - Elsevier
This paper presents a novel model order reduction (MOR)-based two-stage damage
detection method for trusses employing time-series acceleration measured by limited …

A new structural damage detection strategy of hybrid PSO with Monte Carlo simulations and experimental verifications

Z Chen, L Yu - Measurement, 2018 - Elsevier
Structural damage detection (SDD) is originally an optimization problem by minimizing
discrepancy between measured and calculated data of structures. In most cases, natural …

Research on the performance of GMCBO methodology based on model updating of a pedestrian bridge

Z Xia, H Shi, B Tang, Y Wang, X Chen, S Gu - Mechanical Systems and …, 2024 - Elsevier
Consider the loss of diversity of the bodies at the later optimization stage and the low
efficiency of the global searching ability of the traditional colliding bodies optimization …

Structural identification using improved butterfly optimization algorithm with adaptive sampling test and search space reduction method

H Zhou, G Zhang, X Wang, P Ni, J Zhang - Structures, 2021 - Elsevier
Swarm intelligence optimization algorithms have been widely used in structural identification
due to its powerful search ability, while an unpleasant identification result is regularly …