Application of a genetic algorithm to the fuel reload optimization for a research reactor (Q883909)

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scientific article; zbMATH DE number 5163777
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Application of a genetic algorithm to the fuel reload optimization for a research reactor
scientific article; zbMATH DE number 5163777

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    Application of a genetic algorithm to the fuel reload optimization for a research reactor (English)
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    12 June 2007
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    A genetic algorithm has been applied to solve the fuel reload optimization problem for a research reactor. This problem turned to be a multi-objective optimization problem that maximizes the effective multiplication factor and minimizes the power peaking factor while satisfying operational and safety constraints. In order to handle the constraint on the limited number of fuel shuffles, the genetic algorithm needs a suitable coding procedure for transforming loading patterns into chromosomes. Results for a research reactor type TRIGA MARK II are reported.
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    genetic algorithm
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    elitism strategy
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    loading pattern
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    optimization
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    reactor calculation
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