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Traditional basal-bolus and closed-loop artificial pancreas therapy for type 1 diabetes mellitus were studied in the present work and novel insulin delivery profiles have been identified. Type 1 diabetes is a chronic condition resulting from autoimmune destruction of the pancreatic insulin producing β-cells. Inadequate insulin secretion prevents efficient glucose metabolism and is a serious health risk. Major available treatment modes are multiple daily injections of insulin and insulin pump therapy providing continuous subcutaneous infusion. General insulin regimens for low- and high-fat meals were studied in silico to improve current pump therapy for type 1 diabetes. This involved modifications of the FDA-accepted UVA/Padova metabolic simulation model for evaluations of meals with different absorption rates. Simulations of meals with varied fat content under this modified model demonstrated qualitative replications of published data. Subsequently, an insulin regimen library with optimized regimens under open- and closed-loop settings for a variety of meal compositions was constructed using the particle swarm optimization algorithm. Calculations show that the optimal open-loop insulin delivery profiles for low-fat meal