As a form of clean energy, nuclear energy has unique advantages compared to other energy
sources in the present era, where low-carbon policies are being widely advocated. The …

Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …

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) …

The code independent genetic algorithm reactor optimization (CIGARO) system has been
developed to optimize nuclear reactor loading patterns. It uses genetic algorithms (GAs) and …

Simulated-annealing optimization of reactor core loading patterns is implemented with
support for design heuristics during candidate pattern generation. The SIMAN optimization …

In order to maximize both the life cycle and efficiency of a reactor core, it is essential to find
the optimum loading pattern. In the case of research reactors, a loading pattern can also be …

This paper describes an investigation of the efficacy of various elitist selection strategies in a
multiobjective Genetic Algorithm implementation, with parents being selected both from the …

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 …

The objective of nuclear fuel management is to minimize the cost of electrical energy
generation subject to operational and safety constraints. In the present work, a core reload …