R: Fit a hydromad model using CMA-ES (Covariance matrix adapting...

fitByCMAES {hydromad}

R Documentation

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

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

`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

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`.

Joseph Guillaume