nsga2-class

The class 'nsga2' 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 Pinto Roa

nsga2-class function

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

Slots

Class 'nsga2' — nsga2-class

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


</dl>

nsga2-class: Class 'nsga2'

Description

Arguments

Slots

Examples