Evolutionary Parameter Optimization setting

Legacy UserLegacy User Member Posts: 0 Newbie
edited November 2018 in Help
RapidMiner has the nice feature to optimize parameters using a
genetic algorithm. I would like to play around with this optimization.
However, I'm not sure which parameters I should use for the operator
EvolutionaryParameterOptimization (no, I don't want to train
automatically by RM:-)). There are plenty of different settings and
I'm unsure which combination I should use to achieve best results.

Do you have any general hints for me that I should take into account?

Moreover, do you know any papers/books/websites that discuss the
topic of selecting machine learning parameters via genetic
algorithms? The only paper I've found so far is:
¨Comparing learning approaches to coreference resolution".



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