makeOptimizationTask

An optimization task consists of the fitness/objective function, the
number of objectives, the &#8220;direction&#8221; of optimization, i.e.,
which objectives should be minimized/maximized and the names of the
objectives.

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

makeOptimizationTask function

<dl><dt>fun</dt>
<dd>[<code>function</code> | <code>smoof_function</code>] 
Fitness/objective function.</dd>
<dt>n.objectives</dt>
<dd>[<code>integer(1)</code>] 
Number of objectives. This must be a positive integer value unless <code>fun</code>
is of type <code>smoof_function</code>.</dd>
<dt>minimize</dt>
<dd>[<code>logical</code>] 
A logical vector indicating which objectives to minimize/maximize. By default
all objectives are assumed to be minimized.</dd>
<dt>objective.names</dt>
<dd>[<code>character</code>] 
Names for the objectuves.
Default is <code>NULL</code>. In this case the names are set to y1, ..., yn with
n equal to <code>n.objectives</code> and simply y in the single-objective case.</dd></dl>

Arguments

Creates an optimization task. — makeOptimizationTask

<dl>

<dt>fun</dt>
<dd>[<code>function</code> | <code>smoof_function</code>] 
Fitness/objective function.</dd>


<dt>n.objectives</dt>
<dd>[<code>integer(1)</code>] 
Number of objectives. This must be a positive integer value unless <code>fun</code>
is of type <code>smoof_function</code>.</dd>


<dt>minimize</dt>
<dd>[<code>logical</code>] 
A logical vector indicating which objectives to minimize/maximize. By default
all objectives are assumed to be minimized.</dd>


<dt>objective.names</dt>
<dd>[<code>character</code>] 
Names for the objectuves.
Default is <code>NULL</code>. In this case the names are set to y1, ..., yn with
n equal to <code>n.objectives</code> and simply y in the single-objective case.</dd>

</dl>

makeOptimizationTask: Creates an optimization task.

Description

Usage

Value

Arguments