Autor(es):
Freitas, Juliana Campos de [UNESP] ; Florentino, Helenice de Oliveira [UNESP] ; Benedito, Antone dos Santos [UNESP] ; Cantane, Daniela Renata [UNESP]
Data: 2020
Identificador Persistente: http://hdl.handle.net/11449/201300
Origem: Oasisbr
Assunto(s): Dual simplex; Interior point method; Matheuristic algorithms; Primal simplex; Tabu search; Variable neighbourhood search; Dual simplex; Dual simplex; Interior point method; Interior point method; Matheuristic algorithms; Matheuristic algorithms; Primal simplex; Primal simplex; Tabu search; Tabu search; Variable neighbourhood search; Variable neighbourhood search
Descrição
Made available in DSpace on 2020-12-12T02:29:07Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-12-15
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Optimization applied to radiotherapy planning is a complex scientific issue seeking to deliver both possible highest dose into tumor tissue and lowest one into adjacent tissues. It is composed of one or more of the following main problems: beam choice, dose intensity and blades opening. In this paper, a mixed integer nonlinear optimization model is developed for radiation treatment planned by intensity modulated radiotherapy treatment involving both dose intensity and beam choice optimization problems. Moreover, metaheuristics proposed to solve the beam optimization problem are coupled with exact methods, which in turn solve the dose intensity problem. The proposed model is applied to two real computerized tomography images of prostate cases, where it has been shown to be highly efficient.
Institute of Biosciences Department of Biostatistic UNESP - São Paulo State University
Institute of Biosciences Department of Biostatistic UNESP - São Paulo State University
CAPES: 001
