nsga1-class

The class 'nsga1' 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

nsga1-class function

<dl>
<dt><code>dumFitness</code></dt>
<dd>a large dummy fitness value assigned to individuals from
the nondominated front.</dd></dl>
<dt><code>dShare</code></dt>
<dd>the maximun phenotypic distance allowed between any two
individuals to become members of a niche.</dd>
<dt><code>deltaDummy</code></dt>
<dd>value to decrease the dummy fitness of individuals by
non-dominated fronts.</dd>

Slots

Class 'nsga1' — nsga1-class

<dl>
<dt><code>dumFitness</code></dt>
<dd>a large dummy fitness value assigned to individuals from
the nondominated front.</dd>


<dt><code>dShare</code></dt>
<dd>the maximun phenotypic distance allowed between any two
individuals to become members of a niche.</dd>


<dt><code>deltaDummy</code></dt>
<dd>value to decrease the dummy fitness of individuals by
non-dominated fronts.</dd>


</dl>

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nsga1-class: Class 'nsga1'

Description

Arguments

Slots

Examples