GenLP: Generating uniform designs by level permutation
In UniDOE: Uniform Design of Experiments

Description Usage Arguments Value Author(s) References Examples

Function for generating uniform designs by level permutation. It can be also used to improve a user-specified design with randomized level permutation.

1	GenLP(X0, crit, maxiter, hits_ratio, vis)

`X0`	Current design
`crit`	an character R object. Type of criterion to use. "maximin" – maximin Discrepancy ; "CL2" –Centered L2 Discrepancy ; "WD2" – Wrap-around 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 constructing uniform design of experiments via stochastic and adaptive threshold accepting algorithm. Technical Report.)
`vis`	an boolean R object. If true, plot the criterion value sequence.

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.

Aijun Zhang, Haoyu Li, Shijie Quan

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.

  n=27#(must be multiples of q)
  s=13
  q=3
  crit = "MD2" #(Mixture L2 criteria)
  res1 = GenUD(n,s,q,crit=crit,maxiter=100)
  res2 = GenLP(res1$final_design,vis=TRUE, maxiter=100) # To improve ...