OptQuest for Arena lets you define various system inputs (controls and constraints) and desired system outputs (objective functions) and guides the selection of sets of input values (scenarios). OptQuest then thoroughly evaluates each scenario and dynamically selects and evaluates new scenarios in search of the optimum. The separation of the model that represents the system and the procedure that solves optimization problems provide maximum efficiency in identifying new scenarios. The combination of efficiency in search methods and the power of Arena provide the best solution in the least time.