  In this article, a well-known mathematical model of cancer immunotherapy is
discussed and used to represent therapeutic protocols for cancer treatment. The
optimal control problem is formulated based on the Pontryagin maximum principle
to deal with adoptive cellular immunotherapy, then the problem has been solved
by the application of particle swarm optimization (PSO) in combination with
regular methods of solutions to optimal control problems. The results are
compared with those of other researchers. It is explained how the PSO algorithm
could be enlisted to obtain the optimal controls, then the obtained optimal
controls are demonstrated to be more appropriate to the elimination of cancer
cells by using fewer amounts of external sources of medicine.
