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) …

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 …

Nuclear fuel management entails making decisions that influence how a reactor core's
reactivity and flux, power and burnup spatial distributions vary. These spatial distributions …

Abstract Periodically, nuclear Pressurized Water Reactors need to have a proportion of their
fuel removed, new fuel added, and the remaining pattern reloaded in such a way as to yield …

As nuclear fuel economy is basically a multi-cycle issue, a fair way of evaluating reload
patterns is to consider their performance in the case of an equilibrium cycle. The equilibrium …

Although artificial neural networks (ANNs) are powerful tools in terms of their high
posttraining computational speed and their flexibility to construct complex nonlinear …

An integrated software tool for scoping analysis of in-core fuel management, INSIGHT, has
been developed to automate the scoping analysis and to improve the fuel cycle cost using …

Loading pattern optimization enables longer irradiation cycles while still maintaining the
ability to safely operate and shutdown the reactor. The loading pattern optimization problem …

A nodal nuclear reactor reload pattern optimization model is solved using mixed-integer
nonlinear optimization techniques. Unlike currently used heuristic search methods, this …

This paper discusses the merits of Generalized Perturbation Theory (GPT) for search
mechanisms of relevance to an industrial code's daily application context. Unavoidably …