mkm-class

show,mkm-method

object

A S4 class of multiple Kriging models

Multi-Objective optimization based on the Kriging metamodel.
Important functions: mkm() (builder for the multiobjective models), MVPF() (sequential minimizator using variance reduction),
MEGO() (generalization of ParEgo) and HEGO() (minimizator using the expected hypervolume improvement).
References are Passos and Luersen (2018) <doi:10.1590/1679-78254324>.

Adriano Passos

moko

Multi-Objective Kriging Optimization

Marco Luersen

mkm-class function

<ul>
<li><code>show</code>: Custom print for <code>mkm</code> objects</li>
</ul>

Methods (by generic)

<dl class="dl-horizontal">
<dt><code>km</code></dt><dd>A list of <code><a rd-options="" href="/link/km?package=moko&version=1.0.3" data-mini-rdoc="moko::km">km</a></code> objectives.</dd></dl><dt><code>objective</code></dt><dd>A Numeric vector representing the index of the objective
models in <code>km</code>.</dd><dt><code>design</code></dt><dd>Numeric data.frame of the designs (decision space).</dd><dt><code>d,n,m,j</code></dt><dd>Numeric values for the number of dimensions, designs,
objectives and constraints, respectively.</dd><dt><code>response</code></dt><dd>Numeric data.frame of the observed responses (objectives and
constraints) at each design point.</dd><dt><code>feasible</code></dt><dd>Logical vector stating which designs are feasible.</dd><dt><code>control</code></dt><dd>A list of controls for function backtracking, this list
contains all the input parameters that are passed to the <code><a rd-options="" href="/link/km?package=moko&version=1.0.3" data-mini-rdoc="moko::km">km</a></code>
function.</dd>

mkm-class: A S4 class of multiple Kriging models

Description

Usage

Arguments

Methods (by generic)

Slots