Optimization of boiling water reactor loading pattern using an improved genetic algorithm

Yoko Kobayashi, Eitaro Aiyoshi

研究成果: Paper

5 引用 (Scopus)

抜粋

When a nuclear power reactor is shut down between successive operation cycles, refueling or reloading is needed. Devising a good refueling or reloading pattern is called "loading pattern optimization." It is a large, combinatorial optimization problem with a nonlinear objective function and nonlinear constraints. Algorithm based on a genetic algorithm (GA) was developed to generate optimized boiling water reactor (BWR) reloading patterns. The proposed algorithms are demonstrated in an actual BWR plant. In test calculations, candidates that shuffled fresh and burned fuel assemblies within a reasonable computation time were obtained.

元の言語English
ページ383-390
ページ数8
出版物ステータスPublished - 2001 12 1
イベントProceedings of the 2001 IEEE International Symposium on Intelligent Control ISIC '01 - Mexico City, Mexico
継続期間: 2001 9 52001 9 7

Other

OtherProceedings of the 2001 IEEE International Symposium on Intelligent Control ISIC '01
Mexico
Mexico City
期間01/9/501/9/7

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • これを引用

    Kobayashi, Y., & Aiyoshi, E. (2001). Optimization of boiling water reactor loading pattern using an improved genetic algorithm. 383-390. 論文発表場所 Proceedings of the 2001 IEEE International Symposium on Intelligent Control ISIC '01, Mexico City, Mexico.