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A versatile multi-objective FLUKA optimization using Genetic Algorithms
2017
EPJ Web of Conferences
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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
doi:10.1051/epjconf/201715306004
fatcat:pkhjuv7pcbbxfcs7gszlhz2qsu