SOPRAG: a system for boiling water reactors reload pattern optimization using genetic algorithms

SOPRAG: a system for boiling water reactors reload pattern optimization using genetic algorithms

Genetic Algorithms (GA) are used in combination with the steady state nodal core simulator PRESTO-B to create a system for the optimization of reload patterns for Boiling Water Reactors (BWR). The system uses the basic GA operators, crossover, mutation and selection over the loading pattern (LP) rep...

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Veröffentlicht in:Annals of nuclear energy 1999-08, Vol.26 (12), p.1053-1063
Hauptverfasser: Francois, J L, Lopez, HA
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Sprache:eng
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Genetic algorithms
Nuclear reactor simulators
Optimization
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container_issue 12
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container_title Annals of nuclear energy
container_volume 26
creator Francois, J L
Lopez, HA
description Genetic Algorithms (GA) are used in combination with the steady state nodal core simulator PRESTO-B to create a system for the optimization of reload patterns for Boiling Water Reactors (BWR). The system uses the basic GA operators, crossover, mutation and selection over the loading pattern (LP) represented by a combination of fresh and burned fuel assemblies, as well as an objective function taking into account cycle length and radial peaking factor, to obtain improved loading patterns compared with real BWR loadings. The system takes advantage of the efficient quarter core two dimensional (2D) calculations, using the Haling technique to perform thousands of LPs evaluations and obtain the better candidates in a reasonably computer processor (CPU) time.
doi_str_mv 10.1016/S0306-4549(99)00003-1
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subjects Genetic algorithms
Nuclear reactor simulators
Optimization
title SOPRAG: a system for boiling water reactors reload pattern optimization using genetic algorithms
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