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 …

Loading pattern optimization (LPO) is a main issue of in-core fuel management. In this work,
the Grey Wolf Optimizer (GWO) algorithm based on behavior of gray wolves for hunting is …

In this paper, a novel multi objective optimization algorithm, Gravitational Search Algorithm
(GSA), is developed in order to implement in the Loading Pattern Optimization (LPO) of a …

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 …

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 …

Abstract Multi-Mode Resource Constrained Project Scheduling Problem and material batch
ordering for construction project are integrated to help project manager consider various …

In-core fuel management optimization (ICFMO) is one of the most challenging concepts of
nuclear engineering. In recent decades several meta-heuristic algorithms or computational …

Abstract Loading Pattern Optimization (LPO) is an extremely important issue for the safe and
economic operation at nuclear power plants because the core configuration affects many of …

High-fidelity simulation tools are required to treat isotope separation cascades. In the
present work, a multi-objective optimization method based on Whale Optimization Algorithm …

Nowadays, nuclear power is a portion of the response to energy demand growth in the
world. Therefore, the optimal use of this energy is a major challenge for the scientists. One of …