sc_max_metric

It allows an individual to sprout only if there are no other
demes on the target level that have centroid within the given
distance.

The HMS (Hierarchic Memetic Strategy) is a composite global optimization
strategy consisting of a multi-population evolutionary strategy and some
auxiliary methods. The HMS makes use of a dynamically-evolving data structure
that provides an organization among the component populations. It is a tree
with a fixed maximal height and variable internal node degree. Each component
population is governed by a particular evolutionary engine. This package
provides a simple R implementation with examples of using different genetic
algorithms as the population engines. References: J. Sawicki, M. Łoś,
M. Smołka, J. Alvarez-Aramberri (2022) <doi:10.1007/s11047-020-09836-w>.

Wojciech Achtelik

hmsr

Multipopulation Evolutionary Strategy HMS

Marcin Kozubek

Maciej Smołka

AGH University of Kraków 

sc_max_metric function

<dl><dt>metric</dt>
<dd><ul>
<li>Metric used for deme distance comparison (e.g.
euclidean_distance, manhattan_distance)</li>
</ul></dd>
<dt>max_distances</dt>
<dd><ul>
<li>numeric - maximum distance to a centroid of
a deme on the target level that would allow the individual to sprout</li>
</ul></dd></dl>

Arguments

Default sprouting condition based on given metric. — sc_max_metric

<dl>

<dt>metric</dt>
<dd><ul>
<li>Metric used for deme distance comparison (e.g.
euclidean_distance, manhattan_distance)</li>
</ul></dd>


<dt>max_distances</dt>
<dd><ul>
<li>numeric - maximum distance to a centroid of
a deme on the target level that would allow the individual to sprout</li>
</ul></dd>

</dl>

sc_max_metric: Default sprouting condition based on given metric.

Description

Usage

Value

Arguments

Examples