Surrogate-Based Optimization

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


Reference manual

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0.1.1 by Adriano Passos, a year ago

Browse source code at

Authors: Adriano Passos [aut, cre] , Marco Luersen [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports methods, lhs, ggplot2, dplyr, tidyr, purrr, tibble, DiceKriging, DiceOptim, GPareto, emoa, mco, rgenoud, pso, GenSA

See at CRAN