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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...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
2017
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1051/epjconf/201715306004 http://cds.cern.ch/record/2314948 |