maxproLHD: Generate a MaxPro Latin-hypercube design
In SFDesign: Space-Filling Designs

maxproLHD

R Documentation

Generate a MaxPro Latin-hypercube design

Description

This function generates a MaxPro Latin-hypercube design.

Usage

maxproLHD(
  n,
  p,
  design = NULL,
  max.sa.iter = 1e+06,
  temp = 0,
  decay = 0.95,
  no.update.iter.max = 400,
  num.passes = 10,
  max.det.iter = 1e+06,
  method = "full",
  scaled = TRUE
)

Arguments

`n`	design size.
`p`	design dimension.
`design`	an initial LHD. If design=NULL, a random LHD is generated.
`max.sa.iter`	maximum number of swapping involved in the simulated annealing (SA) algorithm.
`temp`	initial temperature of the simulated annealing algorithm. If temp=0, it will be automatically determined.
`decay`	the temperature decay rate of simulated annealing.
`no.update.iter.max`	the maximum number of iterations where there is no update to the global optimum before SA stops.
`num.passes`	the maximum number of passes of the whole design matrix if deterministic swapping is used.
`max.det.iter`	maximum number of swapping involved in the deterministic swapping algorithm.
`method`	choice of "deterministic", "sa", or "full". If the method="full", the design is first optimized by SA and then deterministic swapping.
`scaled`	whether the design is scaled to unit hypercube. If scaled=FALSE, the design is represented by integer numbers from 1 to design size. Leave it as TRUE when no initial design is provided.

Details

maxproLHD generates a MaxPro Latin-hypercube design (Joseph, V. R., Gul, E., & Ba, S. 2015). The major difference with the MaxPro packages is that we have a deterministic swap algorithm, which can be enabled by setting method="deterministic" or method="full". For optimization details, see the detail section in customLHD.

Value

`design`	final design points.
`total.iter`	total number of swaps in the optimization.
`criterion`	final optimized criterion.
`crit.hist`	criterion history during the optimization process.