A Novel Drug Scheduling Optimization Model with Drug resistant Tumor Cell Growth for Cancer Chemotherapy - Liang Yong

This paper presents a novel drug scheduling optimization model with drug-resistant tumor cell growth for cancer chemotherapy and its corresponding renewed multimodal optimization genetic algorithm. Working closely with an oncologist, we firstly propose the new model, because the existing model for drug resistant tumor cell growth is not consistent with the clinical experience and the medicinal knowledge. For exploring multiple efficient drug scheduling policies, we improve our proposed adaptive elitist population-based genetic algorithm (AEGA) to solve it. The results obtained by the new model match well with the general treatment practice (the repeated drug schedule for cancer chemotherapy), and can provide much more realistic solutions than that by the previous model.