gsc_max_fitness_evaluations

Factory function for a global stopping condition that stops
the computation after fitness function has been evaluated
given number of times.

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 

gsc_max_fitness_evaluations function

<dl><dt>max_evaluations</dt>
<dd><ul>
<li>numeric - maximum number of fitness function evaluations</li>
</ul></dd></dl>

Arguments

Factory function for a global stopping condition that stops
the computation after fitness function has been evaluated
given number of times. — gsc_max_fitness_evaluations

<dl>

<dt>max_evaluations</dt>
<dd><ul>
<li>numeric - maximum number of fitness function evaluations</li>
</ul></dd>

</dl>

gsc_max_fitness_evaluations: Factory function for a global stopping condition that stops the computation after fitness function has been evaluated given number of times.

Description

Usage

Value

Arguments

Examples