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Dimension elimination for CRS2_LM #13
First issue is that the selection of default population is made based on the dimensions. Thus you have to do more steps than in the case where the truncation of dimensions is carried out. Thus if you initially have 20 dimensions and only 2 are not ub==lb then you have to do more steps.
But a more important issue that we think might influence algorithm in a bad way is the calculation of centroid. Again for the same case if you have 20 dimensions and two aro nout bound with ub==lb, then the centroid will still be calculated using 20 points. Thus if you now mirror one point the centroid will probably not move at all. Thus the sampling might occur only around the centroid that does not move.
Some tests that we tried did not converge without truncation than when the truncation was applied.
Sorry for the bad english.