Optimal Drug Scheduling for Cancer Chemotherapy Using HBMO algorithm

In this paper, the honey bee mating optimization algorithm (HBMO) is proposed for optimizing drug schedules in cancer chemotherapy model with considering adjustable rest period. Cancer treatment with chemotherapy drugs have dangerous side effects on patient’s body. The design aims aretraded-off between two opponent aims, eliminate of tumor cells and reducing of side effects after a predefined time. Moreover, there are clinical limitations in treatment administration such as drug concentration, drug toxicity and drug resistant. So, drug schedules must be balanced between the reducing of tumor cells,drug concentration and drug toxicity during fixed period of treatment with no drug resistant. Two drug scheduling types arepresented in this paper, continuous and discontinuous. HBMO that is a nature inspired algorithm which simulates the process ofreal honey-bees mating, is used to optimize the dose quantitieswith rest periods (periods of treatment that chemotherapy is stopped). Comparison of the results with previous works shows that in the case of discontinuous dose the number of remained cells decreased significantly, and in the case of continuous drug dosage the results are in the order of best previous results

Keywords:

Drug scheduling problem , Cancer Chemotherapy , HBMO Optimization Algorithm