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Optimizing PWR Low Leakage Cores with Genetic Algorithms and Other Techniques

机译:利用遗传算法和其他技术优化压水堆低泄漏铁心

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摘要

The techniques for calculating an optimum LP that has the maximum cycle length with a selected set of FAs and that does not violate the safety constraints has been described in this paper. A GA is used to find an optimum LP using the HPD to deplete the LPs during the search process. Proof that the HPD can provide an excellent guess for creating new low leakage PWRs' LPs is given. However, in reviewing Fig. 2, it is observed that many LPs fall far outside acceptable limits. It should be possible to eliminate this search space by developing an improved priority scheme.
机译:本文介绍了一种计算最佳LP的技术,该技术具有一组选定FA的最大循环长度,并且不违反安全约束。遗传算法用于在搜索过程中使用HPD耗尽LP来找到最佳LP。证明了HPD可以为创建新的低泄漏PWR的LP提供出色的猜测。但是,在回顾图2时,发现许多LP远远超出了可接受的范围。通过开发改进的优先级方案,可以消除该搜索空间。

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  • 来源
    《Transactions of the American nuclear society 》 |2013年第6期| 716-719| 共4页
  • 作者

    S.Levine; T.Blyth; K.Ivanov;

  • 作者单位

    The Pennsylvania State University (PSU) University Park, PA 16802, USA;

    The Pennsylvania State University (PSU) University Park, PA 16802, USA;

    The Pennsylvania State University (PSU) University Park, PA 16802, USA;

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  • 正文语种 eng
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