RADIOTHERAPY GENETIC ALGORITHM PARETO-MULTIOBJECTIVE OPTIMIZATION OF BIOLOGICAL EFECTIVE DOSE AND CLONOGENS MODELS FOR HEAD AND NECK TUMOR ADVANCED TREATMENT

BED model (Biological Effective Dose) for Head and Neck tumors Hyperfractionation TPO was optimizedwith Pareto-Multiobjective (PMO) Genetic Algorithms (GA) software. Artificial Intelligence (AI) with GA is applied on Radiotherapy Treatment Planning Optimization (TPO). Secondly, the review of N_Effective (Effective Tumor Population Clonogens Number) model optimization for breast cancer clonogens parameters determination in TPO (Treatment Planning Optimization) is got with 3D Graphical and Interior Optimization methods. Results series comprise PMO imaging process sequences and numerical values of PMO and N_Effective model for Head and Neck cancer parameters. Further results demonstrate PMO-GA BED model both with Pareto-Optimal Front detailed graphics, charts and numerical dose fractionation datasets. Supplemental review of new recent applications with 3D Isodoses TPO with AAA (Anisotropic Analytic Algorithm) model wedge filters dose delivery is shown. Advanced RT Head and Neck cancer TPO, and tumors in general for Fractionation-dose protocols are explained.