select

selectForMating

selectForSurvival

This utility functions expect a control object, a matrix of
fitness values - each column containing the fitness value(s) of one individual -
and the number of individuals to select.
The corresponding selector, i.e., mating selector for <code>selectForMating</code>
or survival selector for <code>selectForSurvival</code> is than called internally
and a vector of indizes of selected individuals is returned.

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

select function

<dl><dt>control</dt>
<dd>[<code>ecr_control</code>] 
Control object.</dd>
<dt>fitness</dt>
<dd>[<code>matrix</code>] 
Matrix of fitness values (each column contains the fitness value(s) of one
individual).</dd>
<dt>n.select</dt>
<dd>[<code>integer(1)</code>] 
Number of individuals to select.</dd></dl>

Arguments

Select individuals. — select

<dl>

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


<dt>fitness</dt>
<dd>[<code>matrix</code>] 
Matrix of fitness values (each column contains the fitness value(s) of one
individual).</dd>


<dt>n.select</dt>
<dd>[<code>integer(1)</code>] 
Number of individuals to select.</dd>

</dl>

Select individuals.

select: Select individuals.

Description

Usage

Value

Arguments

Details