domhv

Use Chan's algorithm (Chan, M T (2013).
&#8220;Klee's measure problem made easy.&#8221;
In 2013 IEEE 54th annual symposium on foundations of computer science, 410--419.
IEEE.) to calculate dominated hypervolume.

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

domhv function

<dl><dt>fitnesses</dt>
<dd>(<code>numeric matrix</code>) 
fitness matrix, with one row per individual and one column per objective</dd>
<dt>nadir</dt>
<dd>(<code>numeric</code>) 
Lowest fitness point up to which to calculate dominated hypervolume. May be a scalar, in which case
it is used for all dimensions, or a vector, in which case its length must match the number of dimensions.
Default 0.</dd>
<dt>prefilter</dt>
<dd>(<code>logical(1)</code>) 
Whether to make a first pass that filters out dominated individuals.
If it can be guaranteed that all individuals are non-dominated, setting this to <code>FALSE</code> improves performance a bit.
Otherwise the recommended value is the default <code>FALSE</code>.</dd>
<dt>on_worse_than_nadir</dt>
<dd>(<code>character(1)</code>)
Action when individuals that do not dominate the nadir are found. One of <code>"quiet"</code> (ignore), <code>"warn"</code> (give warning, default), or <code>"stop"</code> (throw error).</dd></dl>

Arguments

Calculate Dominated Hypervolume — domhv

<dl>

<dt>fitnesses</dt>
<dd>(<code>numeric matrix</code>) 
fitness matrix, with one row per individual and one column per objective</dd>


<dt>nadir</dt>
<dd>(<code>numeric</code>) 
Lowest fitness point up to which to calculate dominated hypervolume. May be a scalar, in which case
it is used for all dimensions, or a vector, in which case its length must match the number of dimensions.
Default 0.</dd>


<dt>prefilter</dt>
<dd>(<code>logical(1)</code>) 
Whether to make a first pass that filters out dominated individuals.
If it can be guaranteed that all individuals are non-dominated, setting this to <code>FALSE</code> improves performance a bit.
Otherwise the recommended value is the default <code>FALSE</code>.</dd>


<dt>on_worse_than_nadir</dt>
<dd>(<code>character(1)</code>)
Action when individuals that do not dominate the nadir are found. One of <code>"quiet"</code> (ignore), <code>"warn"</code> (give warning, default), or <code>"stop"</code> (throw error).</dd>

</dl>

domhv: Calculate Dominated Hypervolume

Description

Usage

Value

Arguments

Examples