Radiotherapy Bed Model 2D Pareto- Multiobjective Evolutionary Optimization for Prostate Cancer Hyperfractionated Treatment

Francisco Casesnoves
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Francisco Casesnoves: PhD Engineering, MSc Physics-Mathematics, Physician. Independent Research Scientist. International Association of Advanced Materials, Sweden. UniScience Global Scientific Member, Wyoming, USA

Biomedical Journal of Scientific & Technical Research, 2023, vol. 51, issue 2, 42430-42439

Abstract: 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 with in vitro main parameters dataset. Programming method results take in handle subroutines functions and matrix-algebra method for setting constraints. Results show PMO 2D imaging charts and numerical values of PMO Prostate cancer hyperfractionated TPO parameters. Applications for prostate tumors radiotherapy and stereotactic radiosurgery treatments are briefed.

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:51:y:2023:i:2:p:42430-42439

DOI: 10.26717/BJSTR.2023.51.008064

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