> My issue is self-evident: using this method resulted in a 30 fold
> increase in time. My question is why? If I time the individual
> components separately, nothing is unusual. My hunch is the
> "interaction" between the model.matrix and nsga2 methods.
>
> Any ideas on how to speed this proces
Hi fellow users of R,
My research requires the simultaneous optimization of several response
functions. Therefore, I am using the nsga2 method in the mco package,
which works beautifully.
However, I am running into a significant timing difference that is
causing me grief. The details:
Say I ha
Hi fellow users of R,
My research requires the simultaneous optimization of several response
functions. Therefore, I am using the nsga2 method in the mco package,
which works beautifully.
However, I am running into a significant timing difference that is
causing me grief. The details:
Say I ha
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