A versatile multi-objective FLUKA optimization using Genetic Algorithms

Vasilis Vlachoudis, Guido Arnau Antoniucci, Serge Mathot, Wioletta Sandra Kozlowska, Maurizio Vretenar, F. Malvagi, F. Malouch, C.M'B. Diop, J. Miss, J.C. Trama
2017 EPJ Web of Conferences  
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
more » ... of FLUKA[2,3] of a multi-objective Genetic Algorithm[Erreur ! Source du renvoi introuvable.] to facilitate the search for the optimum solution.
doi:10.1051/epjconf/201715306004 fatcat:pkhjuv7pcbbxfcs7gszlhz2qsu