GenUD_MS: Generating Uniform Design of Experiments using diffrent...

In UniDOE: Uniform Design of Experiments

Description

This function takes n,s,q,crit and nshoot to return a design. nshoot number of random initial designs are used in each shoot. The design returned is the best design over all shoots.

Usage

GenUD_MS(n, s, q, crit, maxiter, nshoot, vis)

Arguments

n	an integer R object. Run of Experiment
s	an integer R object. Factor of Experiment.
q	an integer R object. Level of Experiment.
crit	an character R object. Type of criterion to use. "maximin" – maximin Discrepancy ; "CD2" –Centered L2 Discrepancy ; "WD2" – Wrap-around L2 Discrepancy; "MD2" –Mixture L2 Discrepancy ;
maxiter	a positive integer R object. Maximum iteration number in outer while loop of SATA algorithm in each shoot.
nshoot	Total counts to try different initial designs.
vis	an boolean R object. If true, plot the criterion value sequence for all shoots.

Value

Best design over all shoots.

Author(s)

Aijun Zhang, Haoyu Li, Shijie Quan

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

D = GenUD_MS(36, 4, 6, crit="CD2",
             maxiter=50, nshoot = 6,
             vis=TRUE)

UniDOE documentation built on May 2, 2019, 2:38 a.m.