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For an upper variable bound at 1.5, an infeasible value of 1.6 is repaired to 1.5 which is then rounded to 2.0 (which is not an issue with BoundTransform.repair). If 1 is the optimum, this means that the optimum is not evaluated anymore (for unjustifiable reasons) unless the mean gets feasible again.
This is also a potential issue on the bbob-mixint test suite (with BoundPenalty handling).
A possible fix is to amend the bounds for integer variables (phenotype indices) by amending the bounds option.
The text was updated successfully, but these errors were encountered:
Related to #259.
For an upper variable bound at 1.5, an infeasible value of 1.6 is repaired to 1.5 which is then rounded to 2.0 (which is not an issue with
BoundTransform.repair
). If 1 is the optimum, this means that the optimum is not evaluated anymore (for unjustifiable reasons) unless the mean gets feasible again.This is also a potential issue on thebbob-mixint
test suite (withBoundPenalty
handling).A possible fix is to amend the bounds for integer variables (phenotype indices) by amending the bounds option.
The text was updated successfully, but these errors were encountered: