recGaussian

Gaussian intermediate recombinator samples component-wise from a normal
distribution with mean as the component-wise mean
and standard deviation as halved components-wise absolute distance
of the two given parents.
It is applicable only for numeric representations.
See also ecr::recIntermediate.

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

recGaussian function

<dl><dt>inds</dt>
<dd><code>[list of numeric]</code> list of two individuals to recombinate.</dd>
<dt>lower</dt>
<dd><code>[numeric]</code> lower bounds of <code>inds</code> values. May have same length as
one individual or may be a single number, if the lower bounds are the same for all
values.</dd>
<dt>upper</dt>
<dd><code>[numeric]</code> upper bounds of <code>inds</code> values. May have same length as
one individual or may be a single number, if the upper bounds are the same for all
values.</dd></dl>

Arguments

Gaussian Intermediate Recombinator — recGaussian

<dl>

<dt>inds</dt>
<dd><code>[list of numeric]</code> list of two individuals to recombinate.</dd>


<dt>lower</dt>
<dd><code>[numeric]</code> lower bounds of <code>inds</code> values. May have same length as
one individual or may be a single number, if the lower bounds are the same for all
values.</dd>


<dt>upper</dt>
<dd><code>[numeric]</code> upper bounds of <code>inds</code> values. May have same length as
one individual or may be a single number, if the upper bounds are the same for all
values.</dd>

</dl>

recGaussian: Gaussian Intermediate Recombinator

Description

Usage

Value

Arguments

See Also