emma: Evolutionary model-based multiresponse approach

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The evolutionary model-based multiresponse approach (EMMA) is a novel methodology to process optimisation and product improvement. The approach is suitable to contexts in which the experimental cost and/or time limit the number of implementable trials.

Author
Laura Villanova <laura.villanova@monash.edu>, Kate Smith-Miles <kate.smith-miles@monash.edu> and Rob J Hyndman <rob.hyndman@monash.edu>.
Date of publication
2011-10-26 17:59:36
Maintainer
Laura Villanova <laura.villanova@monash.edu>
License
GPL (>= 2)
Version
0.1-0

View on CRAN

Man pages

ackley
Ackley test problem
distance
Distance measure from the target
emma
Evolutionary Model-based Multiresponse Approach
emmacheck
Checking the need for additional experiments
emma-package
Designing experiments for process optimization
emmat0
Defining the initial design
emmatn
Defining the additional experimental points
peaks
Test problem with multiple peaks
plot.emma
3D simulation plot

Files in this package

emma
emma/DESCRIPTION
emma/man
emma/man/ackley.Rd
emma/man/distance.Rd
emma/man/emma-package.Rd
emma/man/emma.Rd
emma/man/emmacheck.Rd
emma/man/emmat0.Rd
emma/man/emmatn.Rd
emma/man/peaks.Rd
emma/man/plot.emma.Rd
emma/NAMESPACE
emma/R
emma/R/ackley.R
emma/R/distance.R
emma/R/emma.R
emma/R/emmacheck.R
emma/R/emmat0.R
emma/R/emmatn.R
emma/R/estimateModel.R
emma/R/findNeighbour.R
emma/R/generate.R
emma/R/initialise.R
emma/R/mutation.R
emma/R/peaks.R
emma/R/plot.emma.R
emma/R/select.R
emma/MD5