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Very interesting to see how wide spread this is. Stumbled upon it myself by accident when comparing my algorithm to a popular Bayesian optimisation algorithm (https://github.com/rmcantin/bayesopt). Almost every run it would sample the exact centre of the optimisation space. At first I was blown away by the performance until I found it suspicious that the precise optimum was found so often. Shifting the optimum away from the centre greatly reduced the algorithms performance.
I wrote a modified DTLZ set in Fortran while evaluating the methods for my PhD thesis (https://github.com/vtopt/VTMOP) so that the solutions will be slightly offset (I think by like 0.2)
Then another modified DTLZ set in Python so that the solutions will have a configurable location here (https://github.com/parmoo/parmoo)
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