CPFs: Conditional Pareto fronts obtained from Gaussian processes...
In moocore: Core Mathematical Functions for Multi-Objective Optimization
CPFs R Documentation
Conditional Pareto fronts obtained from Gaussian processes simulations.
Description
The data has the only goal of providing an example of use of vorob_t() and
vorob_dev(). It has been obtained by fitting two Gaussian processes on 20
observations of a bi-objective problem, before generating conditional
simulation of both GPs at different locations and extracting non-dominated
values of coupled simulations.
Usage
CPFs
Format
A data frame with 2967 observations on the following 3 variables.
f1first objective values.
f2second objective values.
setindices of corresponding conditional Pareto fronts.
Source
\insertRefBinGinRou2015gauparmoocore
Examples
data(CPFs)
vorob_t(CPFs, reference = c(2, 200))
moocore documentation built on Jan. 11, 2026, 9:06 a.m.
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| CPFs | R Documentation |
Conditional Pareto fronts obtained from Gaussian processes simulations.
Description
The data has the only goal of providing an example of use of vorob_t() and
vorob_dev(). It has been obtained by fitting two Gaussian processes on 20
observations of a bi-objective problem, before generating conditional
simulation of both GPs at different locations and extracting non-dominated
values of coupled simulations.
Usage
CPFs
Format
A data frame with 2967 observations on the following 3 variables.
f1first objective values.
f2second objective values.
setindices of corresponding conditional Pareto fronts.
Source
\insertRefBinGinRou2015gauparmoocore
Examples
data(CPFs)
vorob_t(CPFs, reference = c(2, 200))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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