UniDOE (version 1.0)

LP: Improve design with level permutation

Description

This function aims at improving current design using exhaustive level permutation.

Usage

LP( X0, crit, maxiter, hits_ratio, vis)

Arguments

X0

Current design

crit

an character R object. Type of criterion to use.

"maximin" -- maximin Discrepancy ;

"CL2" --Centered L2 Discrepancy ;

"MD2" --Mixture L2 Discrepancy ;

maxiter

a positive integer R object

hits_ratio

an float R object. Default value is 0.1, which is the ratio to accept changes of design in inner for loop. Details can be checked in (Zhang, A. and Li, H. (2017). UniDOE: an R package for uniform design construction via stochastic optimization.)

vis

an boolean R object. If true, plot the criterion value sequence.

Value

A list that contains Initial design matrix(initial_design),optimal design matrix(final_design), initial criterion value(initial_criterion), final criterion value(criterion_value) and criterion list(criterion_lists) in update process.

References

Zhang, A. and Li, H. (2017). UniDOE: An R package for constructing uniform design of experiments via stochastic and adaptive threshold accepting algorithm. Technical Report.

Examples

# NOT RUN {
  n=27#(must be multiples of q)
  s=13
  q=3
  crit = "MD2"#(Mixture L2 criteria)
  list1=UDC(n,s,q,crit=crit,maxiter=100)
  LP_list = LP(list1$final_design,vis=TRUE,maxiter=100)
# }