A versatile multi-objective FLUKA optimization using Genetic Algorithms

被引：0

作者：

Vlachoudis, Vasilis ^{[1
]}

Antoniucci, Guido Arnau ^{[1
]}

Mathot, Serge ^{[1
]}

Kozlowska, Wioletta Sandra ^{[1
,2
]}

Vretenar, Maurizio ^{[3
]}

机构：

[1] CERN, Dept EN, CH-1211 Geneva, Switzerland

[2] Med Univ Vienna, Vienna, Austria

[3] CERN, Accelerator & Technol Sect, CH-1211 Geneva, Switzerland

来源：

ICRS-13 & RPSD-2016, 13TH INTERNATIONAL CONFERENCE ON RADIATION SHIELDING & 19TH TOPICAL MEETING OF THE RADIATION PROTECTION AND SHIELDING DIVISION OF THE AMERICAN NUCLEAR SOCIETY - 2016 | 2017年 / 153卷

关键词：

D O I：

10.1051/epjconf/201715306004

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

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.

引用

页数：6

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