A versatile multi-objective FLUKA optimization using Genetic Algorithms

Quite often Monte Carlo simulation studies require a multi phase-space optimization, a complicated task, heavily relying on the operator experience and judgment. Examples of such calculations are shielding calculations with stringent conditions in the cost, in residual dose, material properties and...

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Autores principales: Vlachoudis, Vasilis, Antoniucci, Guido Arnau, Mathot, Serge, Kozlowska, Wioletta Sandra, Vretenar, Maurizio
Lenguaje:eng
Publicado: 2017
Materias:
Accelerators and Storage Rings
Acceso en línea:https://dx.doi.org/10.1051/epjconf/201715306004
http://cds.cern.ch/record/2314948
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author Vlachoudis, Vasilis
Antoniucci, Guido Arnau
Mathot, Serge
Kozlowska, Wioletta Sandra
Vretenar, Maurizio
author_facet Vlachoudis, Vasilis
Antoniucci, Guido Arnau
Mathot, Serge
Kozlowska, Wioletta Sandra
Vretenar, Maurizio
author_sort Vlachoudis, Vasilis
collection CERN
description Quite often Monte Carlo simulation studies require a multi phase-space optimization, a complicated task, heavily relying on the operator experience and judgment. Examples of such calculations are shielding calculations with stringent conditions in the cost, in residual dose, material properties and space available, or in the medical field optimizing the dose delivered to a patient under a hadron treatment. The present paper describes our implementation inside flair[1] the advanced user interface of FLUKA[2,3] of a multi-objective Genetic Algorithm[Erreur ! Source du renvoi introuvable.] to facilitate the search for the optimum solution.
id oai-inspirehep.net-1625949
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
record_format invenio
spelling oai-inspirehep.net-16259492019-09-30T06:29:59Zdoi:10.1051/epjconf/201715306004http://cds.cern.ch/record/2314948engVlachoudis, VasilisAntoniucci, Guido ArnauMathot, SergeKozlowska, Wioletta SandraVretenar, MaurizioA versatile multi-objective FLUKA optimization using Genetic AlgorithmsAccelerators and Storage RingsQuite often Monte Carlo simulation studies require a multi phase-space optimization, a complicated task, heavily relying on the operator experience and judgment. Examples of such calculations are shielding calculations with stringent conditions in the cost, in residual dose, material properties and space available, or in the medical field optimizing the dose delivered to a patient under a hadron treatment. The present paper describes our implementation inside flair[1] the advanced user interface of FLUKA[2,3] of a multi-objective Genetic Algorithm[Erreur ! Source du renvoi introuvable.] to facilitate the search for the optimum solution.oai:inspirehep.net:16259492017
spellingShingle Accelerators and Storage Rings
Vlachoudis, Vasilis
Antoniucci, Guido Arnau
Mathot, Serge
Kozlowska, Wioletta Sandra
Vretenar, Maurizio
A versatile multi-objective FLUKA optimization using Genetic Algorithms
title A versatile multi-objective FLUKA optimization using Genetic Algorithms
title_full A versatile multi-objective FLUKA optimization using Genetic Algorithms
title_fullStr A versatile multi-objective FLUKA optimization using Genetic Algorithms
title_full_unstemmed A versatile multi-objective FLUKA optimization using Genetic Algorithms
title_short A versatile multi-objective FLUKA optimization using Genetic Algorithms
title_sort versatile multi-objective fluka optimization using genetic algorithms
topic Accelerators and Storage Rings
url https://dx.doi.org/10.1051/epjconf/201715306004
http://cds.cern.ch/record/2314948
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