Ant colony method to control variance reduction techniques in the Monte Carlo simulation of clinical electron linear accelerators of use in cancer therapy

Autor:	M. Vilches, S. García-Pareja, Antonio M. Lallena
Rok vydání:	2010
Předmět:	Roulette Applied Mathematics Numerical analysis Monte Carlo method Ant colony method Context (language use) Variance (accounting) Ant colony Variance reduction techniques Reduction (complexity) Computational Mathematics LINAC Monte Carlo simulation Variance reduction Algorithm Mathematics
Zdroj:	Journal of Computational and Applied Mathematics. 233:1534-1541
ISSN:	0377-0427
DOI:	10.1016/j.cam.2008.03.052
Popis:	The Monte Carlo simulation of clinical electron linear accelerators requires large computation times to achieve the level of uncertainty required for radiotherapy. In this context, variance reduction techniques play a fundamental role in the reduction of this computational time. Here we describe the use of the ant colony method to control the application of two variance reduction techniques: Splitting and Russian roulette. The approach can be applied to any accelerator in a straightforward way and permits the increasing of the efficiency of the simulation by a factor larger than 50.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a9e2864007ad392bb81abe230ae6ce8 https://doi.org/10.1016/j.cam.2008.03.052 Zobrazit plný text záznamu Full Text from ScienceDirect