Fit a hydromad model using the NSGA2 genetic algorithm from the mco package — fitByNsga2 • hydromad

Fit a hydromad model using the NSGA2 genetic algorithm from the mco package

fitByNsga2(
  MODEL,
  objective = hydromad.getOption("objective"),
  control = hydromad.getOption("nsga2.control")
)

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: arguments for nsga2 function. See nsga2

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: Not currently implemented. Total number of evaluations of the model simulation function.
timing: timing vector as returned by system.time.

See also

nsga2

Author

Joseph Guillaume