"Radiotherapy Bed Model 2D Pareto- Multiobjective Evolutionary Optimization for Prostate Cancer Hyperfractionated Treatment"
نویسندگان
چکیده
Constrained evolutionary algorithms for BED-LQ model (Biological Effective Dose) in Prostate cancer Hyperfractionation radiotherapy TPO are optimized with Pareto-Multiobjective (PMO) methods. Genetic Algorithm (GA) software is developed based on hyperfractionation constraints vitro main parameters dataset. Programming method results take handle subroutines functions and matrix-algebra setting constraints.
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ژورنال
عنوان ژورنال: Biomedical Journal of Scientific and Technical Research
سال: 2023
ISSN: ['2574-1241']
DOI: https://doi.org/10.26717/bjstr.2023.51.008064