stoppingConditions

stopOnEvals

stopOnIters

stopOnOptY

[<code>integer(1)</code>]
Maximal number of function evaluations. Default ist <code>Inf</code>.

max.evals

[<code>integer(1)</code>]
Maximal number of iterations. Default ist <code>Inf</code>.

max.iter

[<code>numeric(1)</code>]
Optimal scalar fitness function value.

opt.y

[<code>numeric(1)</code>]
Stop if absolute deviation from <code>opt.y</code> is lower than <code>eps</code>.

Stop the EA after a fixed number of fitness function evaluations, after
a predefined number of generations/itereations or if the known optimal function
value is approximated (only for single-objective optimization).

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

stoppingConditions function

<dl><dt>max.evals</dt>
<dd>[<code>integer(1)</code>] 
Maximal number of function evaluations. Default ist <code>Inf</code>.</dd>
<dt>max.iter</dt>
<dd>[<code>integer(1)</code>] 
Maximal number of iterations. Default ist <code>Inf</code>.</dd>
<dt>opt.y</dt>
<dd>[<code>numeric(1)</code>] 
Optimal scalar fitness function value.</dd>
<dt>eps</dt>
<dd>[<code>numeric(1)</code>] 
Stop if absolute deviation from <code>opt.y</code> is lower than <code>eps</code>.</dd></dl>

Arguments

Stopping conditions — stoppingConditions

<dl>

<dt>max.evals</dt>
<dd>[<code>integer(1)</code>] 
Maximal number of function evaluations. Default ist <code>Inf</code>.</dd>


<dt>max.iter</dt>
<dd>[<code>integer(1)</code>] 
Maximal number of iterations. Default ist <code>Inf</code>.</dd>


<dt>opt.y</dt>
<dd>[<code>numeric(1)</code>] 
Optimal scalar fitness function value.</dd>


<dt>eps</dt>
<dd>[<code>numeric(1)</code>] 
Stop if absolute deviation from <code>opt.y</code> is lower than <code>eps</code>.</dd>

</dl>

stoppingConditions: Stopping conditions

Description

Usage

Value

Arguments