rnsga2-class

The class 'rnsga2' is instantiated within the execution of rmoo and will be
returned as a result of it. All data generated during execution will be
stored in it.

The 'rmoo' package is a framework for multi- and many-objective
optimization, which allows researchers and users versatility
in parameter configuration, as well as tools for analysis, replication
and visualization of results. The 'rmoo' package was built as a fork of
the 'GA' package by Luca Scrucca(2017) <DOI:10.32614/RJ-2017-008> and
implementing the Non-Dominated Sorting Genetic Algorithms proposed
by K. Deb's.

Francisco Benitez

rmoo

Multi-Objective Optimization in R

Diego P. Pinto-Roa

rnsga2-class function

<dl>
<dt><code>crowdingDistance</code></dt>
<dd>Crowding-comparison approach to estimate of the
perimeter of the cuboid formed by using the nearest neighbors as the vertices.</dd></dl>
<dt><code>reference_points</code></dt>
<dd>R-NSGA-II uses a set of reference points defined by the user to
ensure diversity in obtained solutions.</dd>
<dt><code>extreme_points</code></dt>
<dd>are selected using the ASF in the (<code>PerformScalarizing()</code>).
Necessary in the nadir point generation.</dd>
<dt><code>smin</code></dt>
<dd>Index used to obtain the extreme points.</dd>

Slots

Class 'rnsga2' — rnsga2-class

<dl>
<dt><code>crowdingDistance</code></dt>
<dd>Crowding-comparison approach to estimate of the
perimeter of the cuboid formed by using the nearest neighbors as the vertices.</dd>


<dt><code>reference_points</code></dt>
<dd>R-NSGA-II uses a set of reference points defined by the user to
ensure diversity in obtained solutions.</dd>


<dt><code>extreme_points</code></dt>
<dd>are selected using the ASF in the (<code>PerformScalarizing()</code>).
Necessary in the nadir point generation.</dd>


<dt><code>smin</code></dt>
<dd>Index used to obtain the extreme points.</dd>


</dl>

rnsga2-class: Class 'rnsga2'

Description

Arguments

Slots

Examples