## GPareto 1.1.6
## change / GPareto 1.1.5
* Correct bug in crit_EHI for more than 2 objectives
* Modify some vignette examples for speed
## GPareto 1.1.5
## change / GPareto 1.1.5
* update package vignette to match more the JSS paper
* change links from http to https
* update ReDice website link
* correct bug with upper and lower not used in easyGParetoptim (Thanks to Ian McGregor)
* correct bug in checkPredict with covdist
* support for cov.compute = TRUE in predict_kms
* add batch EHI criterion (beta test)
## GPareto 1.1.4
## change / GPareto 1.1.3
* support for discrete optimization in easyGParetoptim
* correct PF not taken into account in plotSymDevFun
* initialize nintegpoints with plot_uncertainty
## GPareto 1.1.3
## change / GPareto 1.1.1
* add reference to JSS paper
* fix GParetoptim when there is only one nondominated solution
## GPareto 1.1.2
## change / GPareto 1.1.1
* vectorized crit_EHI thanks to David Gaudrie
* vectorized checkPredict function, with additional 'none' option
* checkPredict new default is "euclidean" for speed
* update vignette for various edits and update of fancyvrb.sty with xcolor
## GPareto 1.1.1
## change / GPareto 1.1.0
* improve 3D Pareto front representation with rgl
* no more transpose with predict_kms
* checkPredict use light option
## change / GPareto 1.0.3
* easyGParetoptim and GParetoptim now allow noisy objectives, with the noise.var argument
* resolve inconsistency with integration.points in GParetoptim
* use faster options of predict.km when possible, predict_kms function to predict on a list of models
* n.steps.remaining now is an element of crit_control
* arguments for check_predict only in crit_control for all functions
* EMI is now computed using the semi-analytical formula for 2 objectives (if the range of objective is small enough, for stability)
* quietly load KrigInv in the vignette to solve rebuilding issues
* warnings from genoud are suppressed unless trace is high enough
## change / GPareto 1.0.2
* update the vignette
* changes in checkPredict for matrix/vector arithmetics
## change / GPareto 1.0.1
* new function 'easyGParetoptim', a user-friendly wrapper of the function 'GParetoptim' with arguments as the base optim method
* change arguments 'fun' and 'cheapfun' of 'GParetoptim' and 'crit_optimizer' to 'fn' and 'cheapfn' to match arguments of 'optim' and 'easyGParetoptim'
* new function 'getDesign', to get the best design corresponding to a given target
* new function 'plotGPareto' to display the result of an optimization, possibly quantifiying the uncertainty on it
* a random point is selected with GParetoptim is the inner optimization of the criterion failed by returning an already known point
* no more messages about refPoints when trace is 0
* bug corrected in crit_SMS with eps
* bug corrected with seed for genoud and for EHI, EMI
* bug corrected for SUR
* correct bug in automatic refPoint selection
* passing any optimizer to crit_optimizer is now possible
* add method simulate to class 'fastfun'
* penalty with checkPredict to -1 for all criterion
* nb.samp reduced to 50 for SAA approximation of EHI and EMI for faster evaluation
* printing of iterations with 'GParetoptim' improved
* correct bug with 'GParetoptim' when no 'optimcontrol' does not contain a method
* shorter argument 'n.grid' instead of 'nPointsGrid' in 'plotParetoGrid'
* modifications of display with GParetoptim when no refPoint is provided
* corrections and modifications in the documentation of 'GParetoptim', 'crit_SMS', 'plotParetoEmp' and 'CPF'
* modifications to 'checkPredict' to take into account arbitrary position of 'fastfun' functions
* the example of 'crit_SUR' is now the same as the other criteria
* correct bugs with d>2 with test functions ZDT1-6
* correct bug in MOP2
* correct bug with 'crit_EHI' when PF is provided but not refPoint
## change / GPareto 1.0.0
* update of references
* bug corrected in 'plotParetoEmp' to account for the case with a single point
* possibility in 'plotParetoEmp' to display a Pareto front with maximization
* bug corrected in 'crit_EHI' to count the number of objectives