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Caution
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with Maximization
A maximization criterion applies to one variable and pushes it as far as possible towards (negative/positive) infinity.
Caution in the case the variable should be constrained. For example, a price is always positive. The minimization constraint doesn't make sense here; the constraint should be a target to zero.
Moreover, even if the shouldn't be any bound to the Value Finder, it It is very dangerous to set any other priority level than low for mini/ maximization criteria: as they are never satisfied, they risk taking precedence over every other criteria all the time, preventing the system to reach a good overall solution.
How to perform a Minimization
There are two cases:
you actually want the variable to be as close to zero as possible
simply set a target criterion to zero
you want the variable to go as far towards negative infinity as possible:
you need an extra step: multiply this variable by -1 and set a maximization criterion on the result
Set Boundaries to a Variable
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