MYRRHA Core Loading Pattern Optimization using Metaheuristics

David Jaluvka, Gert Van den Eynde, Stefan Vandewalle

    Research outputpeer-review

    Abstract

    The paper presents recent achievements accomplished in the development of the MYRRHA core management tool, namely implementation of Ant Colony Optimization as an optimization algorithm for solving loading pattern optimization problem. The algorithm is tested on a simple illustrative constrained MYRRHA in-core fuel management problem and the results are compared with those obtained by using Genetic Algorithm. Different forms of objective function penalization were used as a constraint handling technique.
    Original languageEnglish
    Title of host publicationProceedings of the 16th International Conference on Emerging Nuclear Energy Systems (ICENES)
    Place of PublicationSpain
    StatePublished - May 2013
    EventICENES 2013 - 16th International Conference on Emerging Nuclear Energy Systems - Madrid
    Duration: 26 May 201330 May 2013

    Conference

    ConferenceICENES 2013 - 16th International Conference on Emerging Nuclear Energy Systems
    Country/TerritorySpain
    CityMadrid
    Period2013-05-262013-05-30

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