Roles of artificial intelligence in construction engineering and management: A critical review and future trends

Y Pan, L Zhang - Automation in Construction, 2021 - Elsevier
With the extensive adoption of artificial intelligence (AI), construction engineering and
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …

Soft computing techniques in structural and earthquake engineering: a literature review

R Falcone, C Lima, E Martinelli - Engineering Structures, 2020 - Elsevier
Although civil engineering problems are often characterized by significant levels of
complexity, they are generally approached and solved by combining several practitioners' …

Dwarf mongoose optimization algorithm

JO Agushaka, AE Ezugwu, L Abualigah - Computer methods in applied …, 2022 - Elsevier
This paper proposes a new metaheuristic algorithm called dwarf mongoose optimization
algorithm (DMO) to solve the classical and CEC 2020 benchmark functions and 12 …

A comparative study of differential evolution variants in constrained structural optimization

M Georgioudakis, V Plevris - Frontiers in Built Environment, 2020 - frontiersin.org
Differential evolution (DE) is a population-based metaheuristic search algorithm that
optimizes a problem by iteratively improving a candidate solution based on an evolutionary …

Particle swarm optimization trained neural network for structural failure prediction of multistoried RC buildings

S Chatterjee, S Sarkar, S Hore, N Dey… - Neural Computing and …, 2017 - Springer
Faulty structural design may cause multistory reinforced concrete (RC) buildings to collapse
suddenly. All attempts are directed to avoid structural failure as it leads to human life danger …

Tuned mass dampers

M Gutierrez Soto, H Adeli - Archives of Computational Methods in …, 2013 - Springer
A review of representative research on tuned massed dampers (TMD) reported in journals in
recent years is presented. TMDs are divided into four categories: conventional TMDs …

A supervised learning and control method to improve particle swarm optimization algorithms

W Dong, MC Zhou - IEEE Transactions on Systems, Man, and …, 2016 - ieeexplore.ieee.org
This paper presents an adaptive particle swarm optimization with supervised learning and
control (APSO-SLC) for the parameter settings and diversity maintenance of particle swarm …

[HTML][HTML] System identification in structural engineering

GF Sirca Jr, H Adeli - Scientia Iranica, 2012 - Elsevier
A review of representative research reported in journal articles in the field of structural
system identification published in journals since 1995 is presented. The paper is divided into …

Application of higher order cumulant features for cardiac health diagnosis using ECG signals

RJ Martis, UR Acharya, CM Lim… - … journal of neural …, 2013 - World Scientific
Electrocardiogram (ECG) is the electrical activity of the heart indicated by P, QRS and T
wave. The minute changes in the amplitude and duration of ECG depicts a particular type of …

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 …