Radiotherapy Evolutionary Algorithm Further 2d Pareto-Multi Objective Optimization with Biological Effective Model for Head-Neck Cancer Hyperfractionated Treatment

Constrained algorithms for BED model (Biological Effective Dose) in Head and Neck tumors Hypofractionation  TPO  optimized  with  Pareto-Multiobjective  (PMO)  Genetic  Algorithms (GA)  software  are  obtained.  The  mathematical  method  for  constrained  GA  is  applied  for  a number   of   series   of   Pareto   Functions.   Results   demonstrate   PMO-AI   imaging   process sequences  and  extensive  numerical  values  of  PMO  Head  and  Neck  cancer  parameters. Comparison and review with simple constrained GA Optimization is presented.  Improved RT Head  and  Neckcancer  TPO,  and  tumors  in  general  for  Fractional-dose  photon  dose  delivery are explained in brief