initParetoArchive

A Pareto archive is usually used to store all / a part of the
non-dominated points stored during a run of an multi-objective evolutionary
algorithm.

Framework for building evolutionary algorithms for both single- and multi-objective continuous or discrete optimization problems. A set of predefined evolutionary building blocks and operators is included. Moreover, the user can easily set up custom objective functions, operators, building blocks and representations sticking to few conventions. The package allows both a black-box approach for standard tasks (plug-and-play style) and a much more flexible white-box approach where the evolutionary cycle is written by hand.

Jakob Bossek

Evolutionary Computation in R

Michael H. Buselli

Wessel Dankers

Carlos M. Fonseca

Manuel Lopez-Ibanez

Luis Paquete

Joshua Knowles

Eckart Zitzler

Olaf Mersmann

initParetoArchive function

<dl><dt>control</dt>
<dd>[<code>ecr_control</code>] 
Control object.</dd>
<dt>max.size</dt>
<dd>[<code>integer(1)</code>] 
Maximum capacity of the Pareto archive, i.e., the maximal number of non-dominated
points which can be stored in the archive. Default is <code>Inf</code>, i.e., (theoretically)
unbounded capacity.</dd>
<dt>trunc.fun</dt>
<dd>[<code>function(archive, inds, fitness, ...)</code>] 
In case the archive is limited in capacity, i.e., <code>max.size</code> is not infinite,
this function is called internally if an archive overflow occurs. This function
expects the <code>archive</code>, a list of individuals <code>inds</code>, a matrix of fitness
values (each column contains the fitness value(s) of one individual) <code>fitness</code>
and further optional arguments <code>...</code> which may be used by the internals
of <code>trunc.fun</code>. The function must return a list with components &#8220;fitness&#8221;
and &#8220;inds&#8221; which shall be the subsets of <code>fitness</code> and <code>inds</code>
respectively, which should be kept by the archive.</dd></dl>

Arguments

Initialize Pareto Archive. — initParetoArchive

<dl>

<dt>control</dt>
<dd>[<code>ecr_control</code>] 
Control object.</dd>


<dt>max.size</dt>
<dd>[<code>integer(1)</code>] 
Maximum capacity of the Pareto archive, i.e., the maximal number of non-dominated
points which can be stored in the archive. Default is <code>Inf</code>, i.e., (theoretically)
unbounded capacity.</dd>


<dt>trunc.fun</dt>
<dd>[<code>function(archive, inds, fitness, ...)</code>] 
In case the archive is limited in capacity, i.e., <code>max.size</code> is not infinite,
this function is called internally if an archive overflow occurs. This function
expects the <code>archive</code>, a list of individuals <code>inds</code>, a matrix of fitness
values (each column contains the fitness value(s) of one individual) <code>fitness</code>
and further optional arguments <code>...</code> which may be used by the internals
of <code>trunc.fun</code>. The function must return a list with components &#8220;fitness&#8221;
and &#8220;inds&#8221; which shall be the subsets of <code>fitness</code> and <code>inds</code>
respectively, which should be kept by the archive.</dd>

</dl>

initParetoArchive: Initialize Pareto Archive.

Description

Usage

Value

Arguments

See Also