A review on optimization methods for nuclear reactor fuel reloading analysis

Z Li, J Wang, M Ding - Nuclear Engineering and Design, 2022 - Elsevier
Nuclear reactor fuel reloading optimization is a hot issue in the field of nuclear engineering.
With the reasonable rearrangement of fuel assemblies in a reactor core, the nuclear fuel …

Application of Data-Driven technology in nuclear Engineering: prediction, classification and design optimization

Q Hong, M Jun, W Bo, T Sichao, Z Jiayi, L Biao… - Annals of Nuclear …, 2023 - Elsevier
Currently, workers in nuclear power plants need to monitor plant data in real time. In the
event of an emergency, due to human subjectivity, the operator cannot make accurate …

[HTML][HTML] Meta-heuristic as manager in federated learning approaches for image processing purposes

D Połap, M Woźniak - Applied Soft Computing, 2021 - Elsevier
The new form of artificial intelligence training, ie federated learning, is becoming more
popular in the last few years. It is an optimization problem that includes additional …

Development and research of triangle-filter convolution neural network for fuel reloading optimization of block-type HTGRs

Z Li, J Wang, J Huang, M Ding - Applied Soft Computing, 2023 - Elsevier
The problem of fuel reloading optimization is very demanding, which requires to search for
the optimal suitable core configuration within a very huge solution space. To solve this …

Deep neural network heuristic hierarchization for cooperative intelligent transportation fleet management

Q Ke, J Siłka, M Wieczorek, Z Bai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we propose malfunction classifications for trucks, a novel idea for smart fleet
management systems. In the proposed cooperative cooperative intelligent transportation (C …

Physics-informed reinforcement learning optimization of nuclear assembly design

MI Radaideh, I Wolverton, J Joseph, JJ Tusar… - … Engineering and Design, 2021 - Elsevier
Optimization of nuclear fuel assemblies if performed effectively, will lead to fuel efficiency
improvement, cost reduction, and safety assurance. However, assembly optimization …

A multi-information fusion “triple variables with iteration” inertia weight PSO algorithm and its application

M Li, H Chen, X Shi, S Liu, M Zhang, S Lu - Applied Soft Computing, 2019 - Elsevier
Particle swarm optimization (PSO) has many advantages such as fewer parameters, faster
convergence and easy implementation; however, it is also prone to fall into local optimum …

Comparative study of meta-heuristic algorithms for reactor fuel reloading optimization based on the developed BP-ANN calculation method

Z Li, J Huang, J Wang, M Ding - Annals of Nuclear Energy, 2022 - Elsevier
In order to obtain optimal core configurations, the problems of fuel reloading optimization
must be solved in nuclear engineering field. This problem is a combinational optimization …

Small modular reactor full scope core optimization using Cuckoo Optimization Algorithm

R Akbari, DR Ochbelagh, A Gharib, JR Maiorino… - Progress in Nuclear …, 2020 - Elsevier
Abstract Small Modular Reactors (SMRs) with their excellent safety and economic features
will be in high demand in the near future. Most SMR designs have longer burn-up cycle …

Study on criticality and reactivity coefficients of VVER-1200 reactor

N Hafez, H Shahbunder, E Amin, SA Elfiki… - Progress in Nuclear …, 2021 - Elsevier
The numerical validation process is one of the important stages in reactor core design. In the
present work, the criticality analysis calculations of VVER-1200/V392M reactor core was …