package-deprecated: Deprecated function

In moko: Multi-Objective Kriging Optimization

Description

This function is deprecated and will be removed in a near future

Usage

VMPF(
  model,
  fun,
  nsteps,
  lower = rep(0, model@d),
  upper = rep(1, model@d),
  quiet = TRUE,
  control = NULL,
  modelcontrol = NULL
)

Arguments

model	An object of class mkm,
fun	The multi-objective and constraint cost function to be optimized. This function must return a vector with the size of model@m + model@j where model@m are the number of objectives and model@j the number of the constraints,
nsteps	An integer representing the desired number of iterations,
lower	Vector of lower bounds for the variables to be optimized over (default: 0 with length model@d),
upper	Vector of upper bounds for the variables to be optimized over (default: 1 with length model@d),
quiet	Logical indicating the verbosity of the routine,
control	An optional list of control parameters that controls the optimization algorithm. One can control: popsize (default: 200); generations (default: 30); cdist (default: 1/model@d); mprob (default: 15); mdist (default: 20).
modelcontrol	An optional list of control parameters to the mkm function (default: object@control).

See Also

MVPF

moko documentation built on July 2, 2020, 3:59 a.m.