Summary

A function which returns fitness summary and metric measure at each iteration of algorithms search..

A multiobjective optimization package based on K. Deb's
algorithm and inspired in 'GA' package by Luca Scrucca (2017) <DOI:10.32614/RJ-2017-008>.
The 'rmoo' package is a framework for multi- and many-objective optimization,
allowing to work with representation of real numbers, permutations and
binaries, offering a high range of configurations.

Francisco Benitez

rmoo

Multi-Objective Optimization in R

Diego Pinto Roa

Summary function

<dl> <dt>object</dt>
<dd>An object of class <code>"nsga"</code>, <code>"nsga2"</code> and <code>"nsga3"</code>, usually resulting from a call to function <code>nsga</code>, <code>nsga2</code> and <code>nsga3</code>.</dd>
 <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Author

Summarize non-dominated genetic algorithm evolution — Summary

<dl>

 <dt>object</dt>
<dd>An object of class <code>"nsga"</code>, <code>"nsga2"</code> and <code>"nsga3"</code>, usually resulting from a call to function <code>nsga</code>, <code>nsga2</code> and <code>nsga3</code>.</dd>


 <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

Summary: Summarize non-dominated genetic algorithm evolution

Description

Usage

Value

Arguments

Author

Details

References