mpLHD: Generate the optimal MaxPro Latin Hypercube Design.

In MOLHD: Multiple Objective Latin Hypercube Design

Description

Generate the optimal MaxPro Latin Hypercube Design.

Usage

mpLHD(n, p, temp0 = 0, nstarts = 1, times = 300, maxiter = 1e+06)

Arguments

n	number of runs desired
p	number of design factors desired
temp0	Initial temperature for simulated annealing
nstarts	Optional, default is "1". The number of random starts
times	Optional, default is "300". The maximum number of non-improving searches allowed. Lower this parameter if you expect the search to converge faster.
maxiter	Optional, default is "1e+06".The maximum total number of iterations. Lower this number if the design is prohibitively large and you want to terminate the search prematurely to report the best design found

Details

This function is to search the optimal Latin Hypercube Design based on the MaxPro criterion using the columnwise exchange algorithm coupled with the simulated annealing algorithm, and several computational shortcuts to improve efficiency.

Value

design	The optimal LHD design matrix based on the MaxPro criterion
criterion	The MaxPro criterion of the selected optimal LHD design
iterations	The total iterations
time_rec	Time to complete the search

Examples

#Generate a optimal maximum projection LHD(20,2) design
D=mpLHD(n=20,p=2)
D$design
D$criterion

MOLHD documentation built on May 2, 2019, 8:38 a.m.