Multi-objective optimization of cancer treatment using NSWOA algorithmcv

Mathematical modeling of biological systems is one of the most desirable methods for studying the behavior of these biological phenomena. The development of mathematical models has always been important for simulating, controlling, and predicting phenomena. One of the advantages of mathematical models is their application in optimization. Solving cancer therapy as an optimal control problem aims to reduce the concentration of cancer cells in the treatment period. In this solution, an important aspect that was not considered in previous studies was the optimum drug concentration that significantly affected patients' clinical health. Due to this, the present study was carried out to obtain an optimal drug-prescribing protocol to minimize the concentration of cancer cells and the drug concentration. This Multi-objective problem has been solved, for the first time, using the NSWOA algorithm, and the results were compared with the NSGA-II algorithm. Pareto front curve obtained from both algorithms offers a set of the most optimal solutions. According to the criteria of treatment choice, one of these points is chosen as the drug administration protocol.