getPopulationFitness

Returns the fitness values of all individuals as a data.frame
with columns f1, ..., fo, where o is the number of objectives and column
&#8220;gen&#8221; for generation.

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

getPopulationFitness function

<dl><dt>log</dt>
<dd>[<code>ecr_logger</code>] 
The log generated by <code>initLogger</code>.</dd>
<dt>trim</dt>
<dd>[<code>logical(1)</code>] 
Should unused lines in the logged be cut off?
Usually one wants this behaviour.
Thus the default is <code>TRUE</code>.</dd></dl>

Arguments

Access to logged population fitness. — getPopulationFitness

<dl>

<dt>log</dt>
<dd>[<code>ecr_logger</code>] 
The log generated by <code>initLogger</code>.</dd>


<dt>trim</dt>
<dd>[<code>logical(1)</code>] 
Should unused lines in the logged be cut off?
Usually one wants this behaviour.
Thus the default is <code>TRUE</code>.</dd>

</dl>

getPopulationFitness: Access to logged population fitness.

Description

Usage

Value

Arguments

See Also