dict_scalors

datasets

Evolutionary black box optimization algorithms building on the
'bbotk' package. 'miesmuschel' offers both ready-to-use optimization
algorithms, as well as their fundamental building blocks that can be used to
manually construct specialized optimization loops. The Mixed Integer Evolution
Strategies as described by Li et al. (2013) <doi:10.1162/EVCO_a_00059> can be
implemented, as well as the multi-objective optimization algorithms NSGA-II
by Deb, Pratap, Agarwal, and Meyarivan (2002) <doi:10.1109/4235.996017>.

Martin Binder

miesmuschel

Mixed Integer Evolution Strategies

Lennart Schneider

Susanne Dandl

Andreas Hofheinz

dict_scalors function

An object of class <code>DictionaryScalor</code> (inherits from <code>DictionaryEx</code>, <code>Dictionary</code>, <code>R6</code>) of length 15.

Format

Methods inherited from <code>Dictionary</code>, as well as:<ul>
<li><code>help(key, help_type)</code> 
(<code>character(1)</code>, <code>character(1)</code>) 
Displays help for the dictionary entry <code>key</code>. <code>help_type</code> is one of
<code>"text"</code>, <code>"html"</code>, <code>"pdf"</code> and given as the <code>help_type</code> argument of R's <code><a href="/link/help()?package=miesmuschel&version=0.0.4-3" data-mini-rdoc="miesmuschel::help()">help()</a></code>.</li>
</ul>

Methods

Dictionary of Scalors — dict_scalors

Methods inherited from <code>Dictionary</code>, as well as:<ul>
<li><code>help(key, help_type)</code> 
(<code>character(1)</code>, <code>character(1)</code>) 
Displays help for the dictionary entry <code>key</code>. <code>help_type</code> is one of
<code>"text"</code>, <code>"html"</code>, <code>"pdf"</code> and given as the <code>help_type</code> argument of R's <code><a href='https://rdrr.io/r/utils/help.html'>help()</a></code>.</li>
</ul>

dict_scalors: Dictionary of Scalors

Description

Usage

Arguments

Format

Methods

See Also