Self-Adjusting COBRA


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Documentation for package ‘SACOBRA’ version 0.7

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SACOBRA-package Self-adjusting Constrained Optimization with RBF
cobraInit Initial phase for COBRA optimizer
cobraPhaseI Find a feasible solution.
cobraPhaseII Improve the feasible solution by searching new infill points
defaultRI Default settings for 'repairInfeasRI2' and 'repairChootinan'.
defaultSAC Default settings for the SACOBRA part of COBRA.
defaultTR Default settings for the trust-region part of COBRA.
forwardRescale rescaling
getFbest Return best objective function value
getXbest Return best feasible solution in original space
interpRBF Apply cubic or Gaussian RBF interpolation to new data for d>1.
inverseRescale inverse rescaling
multiCOBRA Perform multiple COBRA runs
multiRunPlot Plot the results from multipe COBRA runs.
plog Monotonic transform
plogReverse Inverse of 'plog'
predict.RBFinter Apply cubic or Gaussian RBF interpolation
repairChootinan Repair an infeasible solution with the method of Chootinan.
repairInfeasRI2 Repair an infeasible solution with the method RI2
SACOBRA Self-adjusting Constrained Optimization with RBF
setOpts Merge the options from a partial list and the default list
startCobra Start COBRA (constraint-based optimization) phase I and/or phase II
trainCubicRBF Fit cubic RBF interpolation to training data for d>1.
trainGaussRBF Fit Gaussian RBF model to training data for d>1.
trustRegion Perform trust region refinement