mutPolynomial

[<code>numeric</code>]
Numeric vector / individual to mutate.

[<code>numeric(1)</code>]
Probability of mutation of each gene.

[<code>numeric(1)</code>
Distance parameter of the mutation distribution.

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

lower

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

upper

Performs an polynomial mutation as used in the SMS-EMOA algorithm.

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

mutPolynomial function

<dl><dt>ind</dt>
<dd>[<code>numeric</code>] 
Numeric vector / individual to mutate.</dd>
<dt>p</dt>
<dd>[<code>numeric(1)</code>] 
Probability of mutation of each gene.</dd>
<dt>eta</dt>
<dd>[<code>numeric(1)</code> 
Distance parameter of the mutation distribution.</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

Polynomial mutation. — mutPolynomial

<dl>

<dt>ind</dt>
<dd>[<code>numeric</code>] 
Numeric vector / individual to mutate.</dd>


<dt>p</dt>
<dd>[<code>numeric(1)</code>] 
Probability of mutation of each gene.</dd>


<dt>eta</dt>
<dd>[<code>numeric(1)</code> 
Distance parameter of the mutation distribution.</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>

mutPolynomial: Polynomial mutation.

Description

Usage

Value

Arguments

See Also