euclidean_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 

euclidean_distance function

<dl><dt>x</dt>
<dd><ul>
<li>numeric</li>
</ul></dd>
<dt>y</dt>
<dd><ul>
<li>numeric</li>
</ul></dd></dl>

Arguments

Euclidean distance — euclidean_distance

<dl>

<dt>x</dt>
<dd><ul>
<li>numeric</li>
</ul></dd>


<dt>y</dt>
<dd><ul>
<li>numeric</li>
</ul></dd>

</dl>

euclidean_distance: Euclidean distance

Description

Usage

Value

Arguments

Examples