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Performing mbo over integer parameter spaces with infill optimization "cmaes"
```r
ps = makeParamSet(
makeNumericParam("q", lower = -1, upper = 2),
makeIntegerParam("v", lower = -2, upper = 3)…
mb706 updated
4 years ago
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## Summary of the Question
I have a dataset with features in the X dataframe, and the target in the y series. I am trying to select the features in X such that, when fitting a model, I reach the ex…
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**Description:**
I am experiencing an issue with the `problem.make_net` method. When I try to generate a trained network using the `center` parameter from the `searcher.status`, the method fails un…
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I am installing libcmaes on ubuntu 16.04 and I receive the message "Illegal instruction (core dumped)" when trying to run the tests. I have used the basic option for compilation and install as it was …
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I am trying to perform Anderson F.C., el al., A Dynamic Optimization Solution for Vertical Jumping, and to find a solution through optimization. There is something that me and some students want to te…
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Very often optimization methods are used to minimize misfit functions. Due to noise in data, all models below given noise level are essentially equally good. Obtaining an ensemble of such candidates (…
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https://github.com/AStupidBear/CMAES.jl
https://github.com/AStupidBear/CMA.jl
@Vaibhavdixit02
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Hi! I am working with surrogate CMAES where parameters have boundaries 0 to 1 on Python (surrpcmaes_pwqb). When I try to return the candidate by the method get_candidate_x, it returns values out of ra…
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I am trying to translate an R script into C++ that employs the cmaes library:
https://www.rdocumentation.org/packages/cmaes/versions/1.0-11/topics/cma_es
https://github.com/cran/cmaes/blob/master/…
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I just ran into a problem when trying to run problems with double precision. I thought that defining `torch.set_default_dtype(torch.float64)` would be enough for evotorch to define all the tensors int…