A metaheuristic GAs method as a decision support for the choice of cancer treatment

This paper focuses on a metaheuristic method that helps in evaluating the cancer treatment complexity. We show how to help find a (near) optimal treatment formula by using a genetic algorithms japproach. When the diagnosis problem has been solved, attention is given to designing the treatment procedure. The goal of this paper is to explore a GA-based approach to determine the (near) optimum treatment formula depending on some features of the patient. An application to breast and uterus cancers is presented as well.