The mosaic of metaheuristic algorithms in structural optimization

ND Lagaros, V Plevris, NA Kallioras - Archives of Computational Methods …, 2022 - Springer
Metaheuristic optimization algorithms (MOAs) represent powerful tools for dealing with multi-
modal nonlinear optimization problems. The considerable attention that MOAs have …

Investigation of performance metrics in regression analysis and machine learning-based prediction models

V Plevris, G Solorzano, NP Bakas… - … Methods in Applied …, 2022 - oda.oslomet.no
Performance metrics (Evaluation metrics or error metrics) are crucial components of
regression analysis and machine learning-based prediction models. A performance metric …

Computational intelligence methods in simulation and modeling of structures: A state-of-the-art review using bibliometric maps

G Solorzano, V Plevris - Frontiers in Built Environment, 2022 - frontiersin.org
The modeling and simulation of structural systems is a task that requires high precision and
reliable results to ensure the stability and safety of construction projects of all kinds. For …

Modal testing and evaluation of cracks on cantilever beam using mode shape curvatures and natural frequencies

SSB Chinka, SR Putti, BK Adavi - Structures, 2021 - Elsevier
This paper presented the process of implementing and developing a novel damage
detection approach on beam like-structure using modal parameters. In Theoretical Modal …

Computing the characteristics of defects in wooden structures using image processing and CNN

R Ehtisham, W Qayyum, CV Camp, V Plevris… - Automation in …, 2024 - Elsevier
Wood, a time-honored construction material prized for its exceptional properties, has been in
use for millennia. Its enduring popularity is attributed to its remarkable strength, aesthetic …

Structural damage identification based on modal frequency strain energy assurance criterion and flexibility using enhanced Moth-Flame optimization

M Huang, X Li, Y Lei, J Gu - Structures, 2020 - Elsevier
The development of structural damage identification based on dynamic characteristics has
been suffering from certain issues, such as low computational efficiency and lack of high …

An alternative approach for measuring the mechanical properties of hybrid concrete through image processing and machine learning

MI Waris, V Plevris, J Mir, N Chairman… - Construction and Building …, 2022 - Elsevier
Image processing (IP), artificial neural network (ANN), and adaptive neuro-fuzzy inference
system (ANFIS) are innovative techniques in computer science that have been widely used …

A collection of 30 multidimensional functions for global optimization benchmarking

V Plevris, G Solorzano - Data, 2022 - mdpi.com
A collection of thirty mathematical functions that can be used for optimization purposes is
presented and investigated in detail. The functions are defined in multiple dimensions, for …

A novel two-stage structural damage identification method based on superposition of modal flexibility curvature and whale optimization algorithm

M Huang, X Cheng, Z Zhu, J Luo… - International Journal of …, 2021 - World Scientific
A novel two-stage method is proposed to properly identify the location and severity of
damage in plate structures. In the first stage, a superposition of modal flexibility curvature …

Pure random orthogonal search (PROS): a plain and elegant parameterless algorithm for global optimization

V Plevris, NP Bakas, G Solorzano - Applied Sciences, 2021 - mdpi.com
Featured Application The proposed optimization method is a general tool which can have
numerous applications in various mathematical, engineering and technological fields. Due …