mutUniform

This mutation operator works on real-valued genotypes only. It selects a position
in the solution vector at random and replaced it with a uniformally chosen value
within the box constraints of the corresponding parameter.
This mutator may proof beneficial in early stages of the optimization process,
since it distributes points widely within the box constraints and thus may
hinder premature convergence. However, in later stages - when fine tuning is
necessary, this feature is disadvantegous.

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

mutUniform function

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

Uniform mutator. — mutUniform

<dl>

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

mutUniform: Uniform mutator.

Description

Usage

Value

Arguments

See Also