calcIGD

Modular implementation of Multiobjective Evolutionary Algorithms
based on Decomposition (MOEA/D) [Zhang and Li (2007),
<DOI:10.1109/TEVC.2007.892759>] for quick assembling and
testing of new algorithmic components, as well as easy
replication of published MOEA/D proposals. The full framework is
documented in a paper published in the Journal of Statistical
Software [<doi:10.18637/jss.v092.i06>].

Felipe Campelo

MOEADr

Component-Wise MOEA/D Implementation

Lucas Batista

Claus Aranha

calcIGD function

<dl><dt>Y</dt>
<dd>Matrix of points in the objective space</dd>
<dt>Yref</dt>
<dd>Matrix of Pareto-optimal reference points</dd></dl>

Arguments

Inverted Generational Distance — calcIGD

<dl>

<dt>Y</dt>
<dd>Matrix of points in the objective space</dd>


<dt>Yref</dt>
<dd>Matrix of Pareto-optimal reference points</dd>

</dl>

calcIGD: Inverted Generational Distance

Description

Usage

Value

Arguments