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suropt (version 0.1.1)

Surrogate-Based Optimization

Description

Multi-Objective optimization based on surrogate models. Important functions: build_surmodel, train_hego, train_mego, train_sme.

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Version

Install

install.packages('suropt')

Monthly Downloads

22

Version

0.1.1

License

GPL-3

Maintainer

Adriano Passos

Last Published

January 11th, 2019

Functions in suropt (0.1.1)

.SET

set_funs: Setting Functions
train_sme

Trainer for a surmodel object based on the SME algorithm
train_hego

Trainer for a surmodel object based on the HEGO algorithm
train_mego

Trainer for a surmodel object based on the MEGO algorithm
suropt

suropt: Surrogate-based optimization
test_functions

nowacki_beam_tps' Test functions for optimization
surmodel-class

The surmodel class
show.surmodel

Custom method for showing model objects
nowacki_beam

Test function: The Nowacki Beam
predict,surmodel-method

Predictor surogate model
reexports

Objects exported from other packages
build_surmodel

Build an surmodel object
pre_process

Pre-Processing of models
.SEL

sel_funs: Selection Functions
get

get: get prediction data of models