Hi,
I was wondering how should I deal with symmetry in a state function for CP Optimizer.
Specifically, say for a single-valued state function, with all else being equal, how does the solver search through the two solutions S1 and S2,
where state function of S1 = ((start=0, end=10, state=0), (start=10, end=15, state=0)) and
state function of S2 = ((start=0, end=5, state=0), (start=5, end=15, state=0))?
In other words, if I know swapping the two discrete states within a solution always yields the same objective (i.e z(S1) = z(S2)), should I impose additional symmetry reducing constraints?
Thanks,
Louis
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Louis Luo
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#DecisionOptimization