CUED Publications database

Mixed oxide LWR assembly design optimization using differential evolution algorithms

Charles, AJ and Parks, GT (2017) Mixed oxide LWR assembly design optimization using differential evolution algorithms. In: UNSPECIFIED.

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Abstract

Two new multi-objective differential evolution (DE) algorithms are used to optimize heterogeneous low-enriched uranium + mixed oxide fuel assemblies for use in a pressurized water reactor. The objectives were to maximize plutonium content and minimize the power peaking factor. A performance comparison to a genetic algorithm is used to evaluate the applicability of DE algorithms to nuclear fuel assembly design optimization problems. Results show that DE performs highly competitively against a more established algorithm and can arguably better represent the trade-off between both objectivesthrough greater variety in the number of different pin arrangements explored and a higher reliability in finding thetrue' Pareto-front.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div A > Energy
Depositing User: Cron Job
Date Deposited: 14 Nov 2017 01:56
Last Modified: 10 Apr 2021 22:24
DOI: doi:10.115/ICONE25-67936