Abstract
One of the important in-core fuel management tasks in boiling water reactor (BWR) is to determine optimum positions of fuel assemblies and optimum patterns of control rods. Authors developed a two-stage automatic optimization algorithm using genetic algorithm (GA) for core design in BWR. In the first stage of this two-stage algorithm, loading pattern is optimized. In the second stage, control rod patterns of each burn-up points are optimized. In this paper, authors developed a new combinatorial optimization algorithm using multi-agents and applied this algorithm to the first stage of two-stage automatic optimization.
