recPCrossover

Crossover recombination operator that crosses over each position iid with prob. <code>p</code>
and can also be used for non-binary operators.

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

recPCrossover function

<dl><dt>inds</dt>
<dd><code>[list of any]</code> list of two individuals to perform uniform crossover on</dd>
<dt>p</dt>
<dd><code>[numeric(1)]</code> per-entry probability to perform crossover.</dd>
<dt>...</dt>
<dd>further arguments passed on to the method.</dd></dl>

Arguments

General Uniform Crossover — recPCrossover

<dl>

<dt>inds</dt>
<dd><code>[list of any]</code> list of two individuals to perform uniform crossover on</dd>


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


<dt>...</dt>
<dd>further arguments passed on to the method.</dd>

</dl>

recPCrossover: General Uniform Crossover

Description

Usage

Value

Arguments