Fit a hydromad model using CMA-ES (Covariance matrix adapting evolutionary strategy) from cmaes package — fitByCMAES • hydromad

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fitByCMAES(
  MODEL,
  objective = hydromad.getOption("objective"),
  control = hydromad.getOption("cmaes.control"),
  vcov = FALSE
)

Arguments

MODEL: a model specification created by hydromad. It should not be fully specified, i.e one or more parameters should be defined by ranges of values rather than exact values.
objective: objective function to maximise, given as a function(Q, X, ...). See objFunVal.
control: settings for the CMA-ES algorithm. See cma_es
vcov: Ignored

Value

the best model from those sampled, according to the given objective function. Also, these extra elements are inserted:

fit.result: the result from SCEoptim.
objective: the objective function used.
funevals: total number of evaluations of the model simulation function.
timing: timing vector as returned by system.time.

References

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See also

cma_es

Author

Joseph Guillaume