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Population-based optimization in structural engineering: a review
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 …
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
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 …
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 …
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
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 …
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 …
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
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 …
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 …
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 …
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
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 …
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 …
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
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 …
Structure repair, rehabilitation, replacement, and new structures all require cost-effective and …