P-ISSN: 2663-3582, E-ISSN: 2663-3590
Printed Journal | Refereed Journal | Peer Reviewed Journal
2023, Vol. 5, Issue 1, Part A
Radiotherapy additional genetic algorithm 2D Pareto-Multiobjective optimization of biological effective dose results for head and neck cancer advanced treatment
Author(s): Francisco Casesnoves
Abstract: Additional-extensive graphical and numerical results for BED model (Biological Effective Dose) in Head and Neck tumors hyper fractionation TPO optimized with Pareto-Multiobjective (PMO) Genetic Algorithms (GA) software are presented. The mathematical GA is applied for two series of Pareto Functions. Artificial Intelligence (AI) with GA is applied on Radiotherapy Treatment Planning Optimization (TPO) is explained in brief. Series of findings comprise PMO imaging process sequences and numerical values of PMO Head and Neck cancer parameters. Further solutions prove PMO-GA BED model both with Pareto-Optimal Front detailed graphics, charts and numerical dose fractionation datasets. Improved and advanced RT Head and Neck cancer TPO, and tumors in general for Fractional-dose photon dose delivery are explained.
DOI: 10.33545/26633582.2023.v5.i1a.86
Pages: 27-40 | Views: 304 | Downloads: 139
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How to cite this article:
Francisco Casesnoves. Radiotherapy additional genetic algorithm 2D Pareto-Multiobjective optimization of biological effective dose results for head and neck cancer advanced treatment. Int J Eng Comput Sci 2023;5(1):27-40. DOI: 10.33545/26633582.2023.v5.i1a.86
