Integrative two-stage optimization for core design of BWR using genetic algorithms

Y. Kobayashi, E. Aiyoshi

Research output: Contribution to conferencePaperpeer-review


Boiling water reactors (BWRs) represent a large fraction of the world's installed nuclear power capacity. The core model of a BWR is very complex because it has many fuel assemblies and strong axial heterogeneities such as coolant voiding, partial control rod insertion, and non-uniform fuel assembly design. The core design of BWR is a hard optimization problem with a nonlinear objective function and nonlinear constraints. In this paper, we propose an integrative two-stage optimization method of dynamic stage and static stage based on Genetic Algorithm (GA). This algorithm provides both good convergence performance and global searching ability. Therefore, this optimization system realized the practical application for the real BWR core design. Through calculation in an actual plant, it was confirmed that the optimization could be realized within a reasonable computation time. This two-stage optimization algorithm made the automation of core design tasks possible.

Original languageEnglish
Number of pages6
Publication statusPublished - 2003 Dec 1
EventProceedings of 2003 IEEE Conference on Control Applications - Istanbul, Turkey
Duration: 2003 Jun 232003 Jun 25


OtherProceedings of 2003 IEEE Conference on Control Applications


  • BWR
  • Combinatorial optimization
  • Genetic algorithm
  • Reload core design
  • Two-stage optimization

ASJC Scopus subject areas

  • Control and Systems Engineering


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