Surrogate-Based Optimization


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Documentation for package ‘suropt’ version 0.1.1

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suropt-package suropt: Surrogate-based optimization
.G sel_funs: Selection Functions
.G.data.frame sel_funs: Selection Functions
.G.default sel_funs: Selection Functions
.G.list sel_funs: Selection Functions
.G<- set_funs: Setting Functions
.SEL sel_funs: Selection Functions
.SET set_funs: Setting Functions
.X sel_funs: Selection Functions
.X.data.frame sel_funs: Selection Functions
.X.default sel_funs: Selection Functions
.X.list sel_funs: Selection Functions
.Y sel_funs: Selection Functions
.Y.data.frame sel_funs: Selection Functions
.Y.default sel_funs: Selection Functions
.Y.list sel_funs: Selection Functions
.Y<- set_funs: Setting Functions
binh nowacki_beam_tps' Test functions for optimization
build_surmodel Build an surmodel object
fonseca nowacki_beam_tps' Test functions for optimization
get get: get prediction data of models
get_entropy get: get prediction data of models
get_feasibility get: get prediction data of models
get_stats get: get prediction data of models
kursawe nowacki_beam_tps' Test functions for optimization
nowacki_beam Test function: The Nowacki Beam
predict Predictor surogate model
predict-method Predictor surogate model
pre_process Pre-Processing of models
shaffer1 nowacki_beam_tps' Test functions for optimization
shaffer2 nowacki_beam_tps' Test functions for optimization
show.surmodel Custom method for showing model objects
surmodel-class The 'surmodel' class
suropt suropt: Surrogate-based optimization
test_functions nowacki_beam_tps' Test functions for optimization
train_hego Trainer for a surmodel object based on the HEGO algorithm
train_mego Trainer for a surmodel object based on the MEGO algorithm
train_sme Trainer for a surmodel object based on the SME algorithm
viennet nowacki_beam_tps' Test functions for optimization