CONICET | Buscador de Institutos y Recursos Humanos

In this paper we consider a multi-objective approach to chemother-apy optimization. We assume that the dynamics of the tumor are mod-eling for the stochastic Gompertz growth model with a linear cell-losseffect . We consider fuzzy constraints for the problem. The primaryobjective is to eradicate the tumor (curative treatment) , the secondobjective of cancer chemotherapy is to prolong the patient survival .time maintaining a reasonable quality of life during the palliation pe-riod. Numerical results are presented for a particular case (bladdercancer).