mutGaussScaled

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

[<code>numeric(1)</code>]
Probability of mutation for the gauss mutation operator.

<code>[numeric]</code> standard deviation(s) of the Gauss mutation.

sdev

[<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

See ecr::mutGauss. Allows a vector of standard deviations. Scales
standard deviations to the range of <code>[lower, upper]</code>.

Performs simultaneous hyperparameter tuning and
feature selection through both single-objective and multi-objective
optimization as described in Binder, Moosbauer et al. (2019) <arXiv:1912.12912>.
Uses the 'ecr'-package as basis but adds mixed integer
evolutionary strategies and multi-fidelity functionality as well as operators
specific for the problem of feature selection.

Martin Binder

mosmafs

Multi-Objective Simultaneous Model and Feature Selection

Susanne Dandl

Julia Moosbauer

mutGaussScaled 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 for the gauss mutation operator.</dd>
<dt>sdev</dt>
<dd><code>[numeric]</code> standard deviation(s) of the Gauss mutation.</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

Scaled Gaussian Mutator — mutGaussScaled

<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 for the gauss mutation operator.</dd>


<dt>sdev</dt>
<dd><code>[numeric]</code> standard deviation(s) of the Gauss mutation.</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>

mutGaussScaled: Scaled Gaussian Mutator

Description

Usage

Value

Arguments

See Also