A review of multi-objective optimization algorithms in the field of chemotherapy optimization

Even with the great advancements achieved in the field of medicine, cancer still poses a great threat to humanity, taking millions of lives each year. Chemotherapy is one of the most popular choices in cancer treatment due to its relatively low prices and wide availability. However, since chemotherapy is toxic to the healthy, not just cancer cells, researchers focus on regulating the injected doses to improve the efficacy of the treatments. In the era of computer-aided medical solutions, new horizons open up by combining modern engineering approaches with medical studies. This review provides a brief overview of the recent advances in the field of cancer research using multi-objective optimization algorithms. This area is relatively novel and actively researched. The study mentions some popular tumor models used to describe tumor growth, defines the multi-objective problem formulation requirements, and mentions the most frequently used multi-objective optimization algorithms, and their applications in the field of chemotherapy optimization. Also, in the end, some possible directions for future research are provided. Hopefully, this study will provide a good starting point for researchers looking to get into the field of chemotherapy optimization.