Population-based optimization in structural engineering: a review

AR Kashani, CV Camp, M Rostamian, K Azizi… - Artificial Intelligence …, 2022 - Springer
Structural engineering is focused on the safe and efficient design of infrastructure. Projects
can range in size and complexity, many requiring massive amounts of materials and …

An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity

DJ Armaghani, H Harandizadeh, E Momeni… - Artificial Intelligence …, 2022 - Springer
The pile bearing capacity is considered as the most essential factor in designing deep
foundations. Direct determination of this parameter in site is costly and difficult. Hence, this …

[PDF][PDF] Exploring optimization algorithms: a review of methods and applications

AA Farag, ZM Ali, AM Zaki, FH Rizk… - J. Artif. Intell …, 2024 - researchgate.net
This article review focuses on feature selection as the main parameter that plays a major
role in tuning machine learning models. Several algorithms of optimization such as MFO …

An efficient optimal neural network based on gravitational search algorithm in predicting the deformation of geogrid-reinforced soil structures

E Momeni, A Yarivand, MB Dowlatshahi… - Transportation …, 2021 - Elsevier
The deformation of a Geosynthetic reinforced soil (GRS) structure is a key factor in designing
this type of retaining structures. On the other hand, the feasibility of artificial intelligence …

On the use of neuro-swarm system to forecast the pile settlement

DJ Armaghani, PG Asteris, SA Fatemi… - Applied Sciences, 2020 - mdpi.com
In civil engineering applications, piles (deep foundations) are pushed into the ground in
order to perform as steady support of structures. As these type of foundations are able to …

[HTML][HTML] A combination of feature selection and random forest techniques to solve a problem related to blast-induced ground vibration

H Zhang, J Zhou, D Jahed Armaghani, MM Tahir… - Applied Sciences, 2020 - mdpi.com
In mining and civil engineering applications, a reliable and proper analysis of ground
vibration due to quarry blasting is an extremely important task. While advances in machine …

Comparing the efficiency of weight of evidence, support vector machine and their ensemble approaches in landslide susceptibility modelling: A study on Kurseong …

A Saha, S Saha - Remote Sensing Applications: Society and …, 2020 - Elsevier
The main objectives of the current study is to generate and compare the landslide
susceptibility maps (LSMs) using a probabilistic model ie weight of evidence (WoE), a …

A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine

D Jahed Armaghani, D Kumar, P Samui… - Engineering with …, 2021 - Springer
Ground vibration is one of the most important undesirable effects induced by blasting
operations in the mining or tunneling projects. Hence, develo** a precise model for …

Air-quality prediction based on the EMD–IPSO–LSTM combination model

Y Huang, J Yu, X Dai, Z Huang, Y Li - Sustainability, 2022 - mdpi.com
Owing to climate change, industrial pollution, and population gathering, the air quality status
in many places in China is not optimal. The continuous deterioration of air-quality conditions …

An optimized neuro-bee algorithm approach to predict the FRP-concrete bond strength of RC beams

A Kumar, HC Arora, MA Mohammed, K Kumar… - IEEE …, 2021 - ieeexplore.ieee.org
Over the world, there is growing worry about the corrosion of reinforced concrete structures.
Structure repair, rehabilitation, replacement, and new structures all require cost-effective and …