| CPC G16H 10/20 (2018.01) [G06F 30/10 (2020.01); G06F 30/12 (2020.01); G06F 30/20 (2020.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/06315 (2013.01); G06Q 10/067 (2013.01); G06Q 30/0205 (2013.01); G16H 40/20 (2018.01); G16H 50/70 (2018.01); G06F 2111/02 (2020.01); G06F 2111/04 (2020.01); G06F 2111/06 (2020.01); G06F 2111/08 (2020.01); G06F 2111/16 (2020.01)] | 15 Claims |

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1. A method for determining trial designs, the method comprising:
obtaining, via at least one processor, simulation data for a set of trial designs that includes all combinations of design options for a set of criteria, wherein the simulation data includes performance parameters and performance parameter values associated with each design in the set of trial designs for the set of criteria;
determining, via the at least one processor, an optimality criteria for evaluating the trial designs, wherein the optimality criteria includes Pareto optimality and convex hull optimality for clinical trial design performance values;
determining, via the at least one processor and based at least in part on the simulation data, a cooling cycle, a parameter change, and a direction;
searching, via the at least one processor and within the set of trial designs, for a set of globally optimum designs based on the optimality criteria using simulated annealing, wherein the simulated annealing is based at least in part on the cooling cycle, the parameter change, and the direction; and
recommending, via the at least one processor, the set of globally optimum designs to a user via a user interface.
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