The only method I know to avoid to have to run systematically all cases in an optimisation problem is called the "Simplex" method. It never mathematically guarantees that you will find the "best optimum" in a space of N dimensions (represented by your N variables that you want to optimise) but if you take some precautions you can pretty much rely on the proposed answer by the algorithm. It does require a consequent amount of programming... If Ninja would integrate this features, combined with SQN defined as an objective function it would become a very powerfull tool too define strategies.
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