Radiotherapy Biological Effective Dose In-Vivo-Model Multiobjective Pareto-Interior Optimization for Hyperfractionated Treatment Planning Prostate Cancer

To continue with a previous publication, constrained evolutionary algorithms for IN-VITRO-BED-LQ model (Linear Quadratic Biological Effective Dose Model) in prostate cancer Hyperfractionation radiotherapy TPO were optimized with Pareto-Multiobjective (PMO) methods. This study improves for IN-VIVO-BED-LQ that research with a further comparative between in vitro and in vivo results optimization followed by a precision-refinement with Interior Optimization (IO) methods. Complex software is developed based on hyperfractionation constraints, but within vivo main parameters dataset, and IO programming.