The concept of Swarm Intelligence is based on the ability of individuals to learn with their
own experience in a group as well as to take advantage of the performance of other …

An important aspect of managing a nuclear reactor is how to design refuellings, and from the
1980s to the present different artificial intelligence (AI) techniques have been applied to this …

The design of pressurized water reactor reload cores is not only a formidable optimization
problem but also, in many instances, a multiobjective problem. A genetic algorithm (GA) …

Artificial Bee Colony (ABC) algorithm is a relatively new member of swarm intelligence. ABC
tries to simulate the intelligent behavior of real honey bees in food foraging and can be used …

In this paper, we develop a novel optimization algorithm, Bat Algorithm (BA), in order to
implement in the Loading Pattern Optimization (LPO) of nuclear reactor core. For performing …

Optimization of the arrangement of fuel assemblies and burnable poisons when reloading
pressurized water reactors has, in the past, been performed with many different algorithms in …

An evolutionary simulated annealing (ESA) method has been developed for the problem of
fuel loading optimization of VVER-1000 reactor. The ESA method improves original …

In this paper, a new adaptive genetic algorithm (AGA) is proposed for the loading pattern
optimization (LPO) of the pressurized water reactor (PWR) core. The tournament selection …

A discrete differential evolution (DE) algorithm has been developed and applied to the
problem of fuel loading optimization of the Dalat Nuclear Research Reactor (DNRR). The …

Abstract Machine Learning and Artificial Intelligence techniques are increasingly applied in
the nuclear field. In this way, Spanish companies and research institutions have been …