A comprehensive survey on NSGA-II for multi-objective optimization and applications

H Ma, Y Zhang, S Sun, T Liu, Y Shan - Artificial Intelligence Review, 2023 - Springer
In the last two decades, the fast and elitist non-dominated sorting genetic algorithm (NSGA-
II) has attracted extensive research interests, and it is still one of the hottest research …

[HTML][HTML] Optimization techniques for grid-connected PV with retired EV batteries in centralized charging station with challenges and future possibilities: A review

P Sharma, RC Naidu - Ain Shams Engineering Journal, 2023 - Elsevier
This paper emphasizes the usage of Retired Electric Vehicle Batteries (REVB) to support a
system with a Centralized Charging Station (CCS) for charging electric vehicle batteries …

Crushing stress and vibration fatigue-life optimization of a battery-pack system

X Zhang, Y Xiong, Y Pan, H Du, B Liu - Structural and Multidisciplinary …, 2023 - Springer
The mechanical failure of battery-pack systems (BPSs) under crush and vibration conditions
is a crucial research topic in automotive engineering. Most studies evaluate the mechanical …

A novel integrated model to improve the dynamic viscosity of MWCNT-Al2O3 (40: 60)/Oil 5W50 hybrid nano-lubricant using artificial neural networks (ANNs)

MH Esfe, R Esmaily, MK Khabaz, A Alizadeh… - Tribology …, 2023 - Elsevier
In this study, a unique incorporated version is presented to enhance the dynamic viscosity of
MWCNT-Al 2 O 3 (40: 60)/Oil 5W50 hybrid nanofluid (HNF) the usage of the 3 maximum vast …

Flow channel structure optimization and analysis of proton exchange membrane fuel cell based on the finite data mapping and multi-field synergy principle

J Hao, J Chen, T Ma, T Hao, J Zhou, X Du - International Journal of Heat …, 2023 - Elsevier
Abstract Design and optimization of the flow channel structure is an effective approach to
improve the performance of the proton exchange membrane fuel cell (PEMFC). Based on …

Using feed-forward perceptron Artificial Neural Network (ANN) model to determine the rolling force, power and slip of the tandem cold rolling

JS Xia, MK Khabaz, I Patra, I Khalid, JRN Alvarez… - ISA transactions, 2023 - Elsevier
In this paper, an Artificial Neural Network (ANN) is used to investigate the influence of rolling
parameters such as thickness reduction, inter-strand tension, rolling speed and friction on …

The role of biometric in banking: A review

M Marani, M Soltani, M Bahadori, M Soleimani… - … Transactions on AI and …, 2023 - eudl.eu
Biometrics plays a pivotal role in enhancing security, ensuring accurate identification, and
offering convenient solutions across diverse industries. Its uniqueness, reliability, and …

Deep learning-based flatness prediction via multivariate industrial data for steel strip during tandem cold rolling

Q Wang, J Sun, Y Hu, W Jiang, X Zhang… - Expert Systems with …, 2024 - Elsevier
Flatness deviations in the tandem cold-rolling process of steel strips have a direct impact on
product quality and shape, leading to strip breakage, reduced working speed, and …

Application of artificial intelligence and using optimal ANN to predict the dynamic viscosity of Hybrid nano-lubricant containing Zinc Oxide in Commercial oil

MH Esfe, R Esmaily, ST Mahabadi, D Toghraie… - Colloids and Surfaces A …, 2022 - Elsevier
The objective of present research is to investigate the effect of temperature, the volume
fraction of nanoparticles (φ) and shear rate (γ ̇) to predict the dynamic viscosity (µ nf) of …

Thermo-economic analysis and multi-objective optimization of a reversible heat pump-organic Rankine cycle power system for energy storage

R Ma, H Qiao, X Yu, B Yang, H Yang - Applied Thermal Engineering, 2023 - Elsevier
The rapid growth in renewable energy has reinforced the efforts to develop new scalable
energy storage to balance the mismatch between energy production and demand. The …