最適化シンポジウム講演論文集
Online ISSN : 2424-3019
会議情報
103 マルチエージェントと GA による沸騰水型原子炉の炉心設計の統合型最適化
小林 容子相吉 英太郎
著者情報
会議録・要旨集 フリー

p. 13-18

詳細
抄録
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.
著者関連情報
© 2002 一般社団法人 日本機械学会
前の記事 次の記事
feedback
Top