Optimal control for a bone metastasis with radiotherapy model using a linear objective functional

Abstract

Radiation is known to cause genetic damage to highly proliferative cells such as cancer cells. However, the radiotherapy effects to bone cells is not completely known. In this work we present a mathematical modeling framework to test hypotheses related to the radiation-induced effects on bone metastasis. Thus, we pose an optimal control problem based on a Komarova model describing the interactions between cancer cells and bone cells at a single site of bone remodeling. The radiotherapy treatment is included in the form of a functional which minimizes the use of radiation using a penalty function. Moreover, we are interested to model the 'on' and the 'off' time states of the radiation schedules; so we propose an optimal control problem with a L1-type objective functional. Bang-bang or singular arc solutions are the obtained optimal control solutions. We characterize both solutions types and explicitly give necessary optimality conditions for them. We present numerical simulations to analyze the different possible radiation effects on the bone and cancer cells. We also evaluate the more significant parameters to shift from a bang-bang solution to a singular arc solution and vice versa. Additionally, we study a fractionated radiotherapy model.

Optimal vaccination strategies for a heterogenous population using multiple objectives: The case of L1− and L2−formulations

“…. The set of admissible controls D 0 (t f ) is defined as the set of all possible Lebesgue-measurable functions U = (u 1 (t), u 2 (t)), which satisfy conditions (6) for almost all t ∈ [0, t f ].…”

“…] is an open interval, then singular controls and arcs can appear [6,10,17]. Let us assume that (21) holds to investigate the singular solution.…”