I am trying to use solver to optimize my target high and low of two sets of numbers. (basically what should my high be set at and my low to attain the highest accuracy of the high always happening and the low occurring rarely) I am sure I will need to post more data but I am unsure what I will need to post. Please ask and I will get it posted.
I find that the beginning of almost any Solver model (or other optimization algorithm) begins with my objective function (the function that will be maximized/minimized/solved for a value) and my decision variables (what will be changed). Your brief descriptions talks about highs and lows and accuracy and probability. I would suggest that you first need to figure out how all that comes together to build an objective function based on decision variables with all of the functions in between needed to connect the decision variables to the objective function.
Originally Posted by shg
To optimize to set of values. Maximize A and minimize B I would try defining my object function as C = A/B and set solver to maximize C.
Alf
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