Artificial intelligence in nuclear industry: Chimera or solution?

S Suman - Journal of Cleaner Production, 2021 - Elsevier
Nuclear industry is in crisis and innovation is the central theme of its survival in future.
Artificial intelligence has made a quantum leap in last few years. This paper …

A survey of multi-objective optimization methods and their applications for nuclear scientists and engineers

RH Stewart, TS Palmer, B DuPont - Progress in Nuclear Energy, 2021 - Elsevier
Problems in nuclear engineering–such as reactor core design–involve a multitude of design
variables including fuel or assembly configurations; all of which require careful …

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 …

NF-GMDH-Based self-organized systems to predict bridge pier scour depth under debris flow effects

M Najafzadeh, F Saberi-Movahed… - Marine Georesources …, 2018 - Taylor & Francis
Existence of debris structures inevitably ascends the rate of scour process around bridge
piers and flow area not only lead into remarkable deviation of flow but also increase the …

Comparison of the error-integral performance indexes in a GA-tuned PID controlling system of a PWR-type nuclear reactor point-kinetics model

SMH Mousakazemi - Progress in Nuclear Energy, 2021 - Elsevier
The control of a nuclear power plant is important due to its nonlinear dynamics. An optimized
proportional–integral–derivative (PID) controller is a popular tool to this end. PID is tuned by …

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 …

The use of multi-objective optimization to improve the design process of nuclear power plant systems

PR Wilding, NR Murray, MJ Memmott - Annals of Nuclear Energy, 2020 - Elsevier
Multi-objective optimization is proposed to address the problem of design optimality in the
nuclear power plant design process. This is done via the creation/development of the …

Fitness-scaling adaptive genetic algorithm with local search for solving the Multiple Depot Vehicle Routing Problem

S Wang, Z Lu, L Wei, G Ji, J Yang - Simulation, 2016 - journals.sagepub.com
The multi-depot vehicle routing problem is a well-known non-deterministic polynomial-time
hard combinatorial optimization problem, which is crucial for transportation and logistics …

Multiobjective optimization of nuclear microreactor reactivity control system operation with swarm and evolutionary algorithms

D Price, MI Radaideh, B Kochunas - Nuclear Engineering and Design, 2022 - Elsevier
To improve the marketability of novel microreactor designs, there is a need for automated
and optimal control of these reactors. This paper presents a methodology for performing …

Applications of Soft Computing in nuclear power plants: A review

I Ramezani, K Moshkbar-Bakhshayesh… - Progress in Nuclear …, 2022 - Elsevier
Soft Computing (SC) is defined as a group of computational techniques that solve complex
problems independent of mathematical models. SC techniques including artificial neural …