A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization
Aiming to find the most suitable development schemes of conventional and unconventional
reservoirs for maximum energy supply or economic benefits, reservoir production …
reservoirs for maximum energy supply or economic benefits, reservoir production …
Training effective deep reinforcement learning agents for real-time life-cycle production optimization
Life-cycle production optimization aims to obtain the optimal well control scheme at each
time control step to maximize financial profit and hydrocarbon production. However …
time control step to maximize financial profit and hydrocarbon production. However …
Coupled particle swarm optimization method with genetic algorithm for the static–dynamic performance of the magneto-electro-elastic nanosystem
J Jiao, S Ghoreishi, Z Moradi, K Oslub - Engineering with Computers, 2021 - Springer
As a first attempt, Fourier series expansion (FSE), particle swarm optimization (PSO), and
genetic algorithm (GA) methods are coupled for analysis of the static–dynamic performance …
genetic algorithm (GA) methods are coupled for analysis of the static–dynamic performance …
Boosting slime mould algorithm for parameter identification of photovoltaic models
Estimating the photovoltaic model's unknown parameters efficiently and accurately can
determine the solar cell's efficacy in converting the solar energy into electricity. For this …
determine the solar cell's efficacy in converting the solar energy into electricity. For this …
Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images
H Su, D Zhao, F Yu, AA Heidari, Y Zhang… - Computers in Biology …, 2022 - Elsevier
The artificial bee colony algorithm (ABC) has been successfully applied to various
optimization problems, but the algorithm still suffers from slow convergence and poor quality …
optimization problems, but the algorithm still suffers from slow convergence and poor quality …
Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm
Medical image segmentation, which is a complex and fundamental step in medical image
processing, can help doctors make more precise decisions on patient diagnosis. Although …
processing, can help doctors make more precise decisions on patient diagnosis. Although …
CFD-based simulation to reduce greenhouse gas emissions from industrial plants
Sarjito, M Elveny, AT Jalil, A Davarpanah… - International Journal of …, 2021 - degruyter.com
Greenhouse gas (GHG) pollution is considered one of the challenging concerns in industrial
plants, and to emit the appropriate designation in nitrogen oxide reduction, it is required to …
plants, and to emit the appropriate designation in nitrogen oxide reduction, it is required to …
[HTML][HTML] Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques
Study region The present study has been carried out in the Tabriz River basin (5397 km 2) in
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …
A radial basis function surrogate model assisted evolutionary algorithm for high-dimensional expensive optimization problems
Evolutionary algorithms require large number of function evaluations to locate the global
optimum, making it computationally prohibitive on dealing with expensive problems …
optimum, making it computationally prohibitive on dealing with expensive problems …
Effect of omega-3 fatty acids supplementation on cardio-metabolic and oxidative stress parameters in patients with chronic kidney disease: a systematic review and …
Abstract Background Omega-3 fatty acids (FAs) have been suggested as a beneficial
supplement in chronic kidney disease (CKD) patients, but the results of randomized clinical …
supplement in chronic kidney disease (CKD) patients, but the results of randomized clinical …