mutRandomChoice

<code>[character]</code> individual to mutate.

<code>[list of character]</code> set of possible values for <code>ind</code> entries to take.
May be a list of length 1, in which case it is recycled.

values

<code>[numeric(1)]</code> per-entry probability to perform mutation.

"Random Choice" mutation operator for discrete parameters: with probability
<code>p</code> chooses one of the available categories at random (this may be
the original value!)

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

mutRandomChoice function

<dl><dt>ind</dt>
<dd><code>[character]</code> individual to mutate.</dd>
<dt>values</dt>
<dd><code>[list of character]</code> set of possible values for <code>ind</code> entries to take.
May be a list of length 1, in which case it is recycled.</dd>
<dt>p</dt>
<dd><code>[numeric(1)]</code> per-entry probability to perform mutation.</dd></dl>

Arguments

Random Choice Mutator — mutRandomChoice

<dl>

<dt>ind</dt>
<dd><code>[character]</code> individual to mutate.</dd>


<dt>values</dt>
<dd><code>[list of character]</code> set of possible values for <code>ind</code> entries to take.
May be a list of length 1, in which case it is recycled.</dd>


<dt>p</dt>
<dd><code>[numeric(1)]</code> per-entry probability to perform mutation.</dd>

</dl>

mutRandomChoice: Random Choice Mutator

Description

Usage

Value

Arguments

See Also