recSBX

The Simulated Binary Crossover was first proposed by [1]. It i suited for
float representation only and creates two offspring. Given parents \(p_1, p_2\)
the offspring are generated as \(c_{1/2} = \bar{x} \pm \frac{1}{2}\beta(p_2 - p_1)\)
where \(\bar{x} = \frac{1}{2}(p_1 + p_2), p_2 &gt; p_1\). This way \(\bar{c} = \bar{x}\)
is assured.

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

recSBX function

<dl><dt>inds</dt>
<dd>[<code>numeric</code>] 
Parents, i.e., list of exactly two numeric vectors of equal length.</dd>
<dt>eta</dt>
<dd>[<code>numeric(1)</code>] 
Parameter eta, i.e., the distance parameters of the crossover distribution.</dd>
<dt>p</dt>
<dd>[<code>numeric(1)</code>] 
Crossover probability for each gene. Default is <code>1.0</code>.</dd>
<dt>lower</dt>
<dd>[<code>numeric</code>] 
Vector of minimal values for each parameter of the decision space.</dd>
<dt>upper</dt>
<dd>[<code>numeric</code>] 
Vector of maximal values for each parameter of the decision space.</dd></dl>

Arguments

Simulated Binary Crossover (SBX) recombinator. — recSBX

<dl>

<dt>inds</dt>
<dd>[<code>numeric</code>] 
Parents, i.e., list of exactly two numeric vectors of equal length.</dd>


<dt>eta</dt>
<dd>[<code>numeric(1)</code>] 
Parameter eta, i.e., the distance parameters of the crossover distribution.</dd>


<dt>p</dt>
<dd>[<code>numeric(1)</code>] 
Crossover probability for each gene. Default is <code>1.0</code>.</dd>


<dt>lower</dt>
<dd>[<code>numeric</code>] 
Vector of minimal values for each parameter of the decision space.</dd>


<dt>upper</dt>
<dd>[<code>numeric</code>] 
Vector of maximal values for each parameter of the decision space.</dd>

</dl>

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recSBX: Simulated Binary Crossover (SBX) recombinator.

Description

Usage

Value

Arguments

References

See Also