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<title>ParadisEO-MOEO: moeoIBEAAvgSorting&lt; EOT, FitnessEval &gt; Class Template Reference</title>
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<h1>moeoIBEAAvgSorting&lt; EOT, FitnessEval &gt; Class Template Reference</h1><!-- doxytag: class="moeoIBEAAvgSorting" --><!-- doxytag: inherits="moeoIBEA&lt; EOT, FitnessEval &gt;" -->Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) under uncertainty using averaged values for each objective Follow the idea presented in the Deb &amp; Gupta paper "Searching for Robust Pareto-Optimal Solutions in Multi-Objective Optimization", 2005 Of course, the fitness of an individual needs to be an eoStochasticParetoFitness object.
<a href="#_details">More...</a>
<p>
<code>#include &lt;<a class="el" href="moeoIBEA_8h-source.html">moeoIBEA.h</a>&gt;</code>
<p>
<p>Inheritance diagram for moeoIBEAAvgSorting&lt; EOT, FitnessEval &gt;:
<p><center><img src="classmoeoIBEAAvgSorting.png" usemap="#moeoIBEAAvgSorting< EOT, FitnessEval >_map" border="0" alt=""></center>
<map name="moeoIBEAAvgSorting< EOT, FitnessEval >_map">
<area href="classmoeoIBEA.html" alt="moeoIBEA< EOT, FitnessEval >" shape="rect" coords="133,224,389,248">
<area doxygen="eo.doxytag:../../../workspace/paradiseo-eo/doc/doc/html/" href="../../../workspace/paradiseo-eo/doc/doc/html/classeo_perf2_worth_cached.html" alt="eoPerf2WorthCached< EOT, double >" shape="rect" coords="133,168,389,192">
<area doxygen="eo.doxytag:../../../workspace/paradiseo-eo/doc/doc/html/" href="../../../workspace/paradiseo-eo/doc/doc/html/classeo_perf2_worth.html" alt="eoPerf2Worth< EOT, WorthT >" shape="rect" coords="133,112,389,136">
<area doxygen="eo.doxytag:../../../workspace/paradiseo-eo/doc/doc/html/" href="../../../workspace/paradiseo-eo/doc/doc/html/classeo_u_f.html" alt="eoUF< const eoPop< EOT > &, void >" shape="rect" coords="0,56,256,80">
<area doxygen="eo.doxytag:../../../workspace/paradiseo-eo/doc/doc/html/" href="../../../workspace/paradiseo-eo/doc/doc/html/classeo_value_param.html" alt="eoValueParam< std::vector< WorthT > >" shape="rect" coords="266,56,522,80">
<area doxygen="eo.doxytag:../../../workspace/paradiseo-eo/doc/doc/html/" href="../../../workspace/paradiseo-eo/doc/doc/html/classeo_functor_base.html" alt="eoFunctorBase" shape="rect" coords="0,0,256,24">
<area doxygen="eo.doxytag:../../../workspace/paradiseo-eo/doc/doc/html/" href="../../../workspace/paradiseo-eo/doc/doc/html/classeo_param.html" alt="eoParam" shape="rect" coords="266,0,522,24">
</map>
<a href="classmoeoIBEAAvgSorting-members.html">List of all members.</a><table border="0" cellpadding="0" cellspacing="0">
<tr><td></td></tr>
<tr><td colspan="2"><br><h2>Public Member Functions</h2></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmoeoIBEAAvgSorting.html#02056e5794eb5c1d0e3d9d1cbb347c41">moeoIBEAAvgSorting</a> (<a class="el" href="classmoeoBinaryQualityIndicator.html">moeoBinaryQualityIndicator</a>&lt; FitnessEval &gt; *_I, const double _kappa)</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">constructor <a href="#02056e5794eb5c1d0e3d9d1cbb347c41"></a><br></td></tr>
<tr><td colspan="2"><br><h2>Private Member Functions</h2></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmoeoIBEAAvgSorting.html#b62fcfda9ac75352479fa06952754f90">setBounds</a> (const <a class="elRef" doxygen="eo.doxytag:../../../workspace/paradiseo-eo/doc/doc/html/" href="../../../workspace/paradiseo-eo/doc/doc/html/classeo_pop.html">eoPop</a>&lt; EOT &gt; &amp;_pop)</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">computation and setting of the bounds for each objective <a href="#b62fcfda9ac75352479fa06952754f90"></a><br></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmoeoIBEAAvgSorting.html#e88f9280e5c81cd0b54d738b7863dc1d">fitnesses</a> (const <a class="elRef" doxygen="eo.doxytag:../../../workspace/paradiseo-eo/doc/doc/html/" href="../../../workspace/paradiseo-eo/doc/doc/html/classeo_pop.html">eoPop</a>&lt; EOT &gt; &amp;_pop)</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">computation and setting of the fitness for each individual of the population <a href="#e88f9280e5c81cd0b54d738b7863dc1d"></a><br></td></tr>
<tr><td colspan="2"><br><h2>Private Attributes</h2></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="89375a49f85c93492b59dc8450b8a983"></a><!-- doxytag: member="moeoIBEAAvgSorting::kappa" ref="89375a49f85c93492b59dc8450b8a983" args="" -->
double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmoeoIBEAAvgSorting.html#89375a49f85c93492b59dc8450b8a983">kappa</a></td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">scaling factor kappa <br></td></tr>
</table>
<hr><a name="_details"></a><h2>Detailed Description</h2>
<h3>template&lt;class EOT, class FitnessEval = typename EOT::Fitness::FitnessEval&gt;<br>
class moeoIBEAAvgSorting&lt; EOT, FitnessEval &gt;</h3>
Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) under uncertainty using averaged values for each objective Follow the idea presented in the Deb &amp; Gupta paper "Searching for Robust Pareto-Optimal Solutions in Multi-Objective Optimization", 2005 Of course, the fitness of an individual needs to be an eoStochasticParetoFitness object.
<p>
<p>
Definition at line <a class="el" href="moeoIBEA_8h-source.html#l00361">361</a> of file <a class="el" href="moeoIBEA_8h-source.html">moeoIBEA.h</a>.<hr><h2>Constructor &amp; Destructor Documentation</h2>
<a class="anchor" name="02056e5794eb5c1d0e3d9d1cbb347c41"></a><!-- doxytag: member="moeoIBEAAvgSorting::moeoIBEAAvgSorting" ref="02056e5794eb5c1d0e3d9d1cbb347c41" args="(moeoBinaryQualityIndicator&lt; FitnessEval &gt; *_I, const double _kappa)" -->
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;class EOT, class FitnessEval = typename EOT::Fitness::FitnessEval&gt; </div>
<table class="memname">
<tr>
<td class="memname"><a class="el" href="classmoeoIBEAAvgSorting.html">moeoIBEAAvgSorting</a>&lt; EOT, FitnessEval &gt;::<a class="el" href="classmoeoIBEAAvgSorting.html">moeoIBEAAvgSorting</a> </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classmoeoBinaryQualityIndicator.html">moeoBinaryQualityIndicator</a>&lt; FitnessEval &gt; *&nbsp;</td>
<td class="paramname"> <em>_I</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const double&nbsp;</td>
<td class="paramname"> <em>_kappa</em></td><td>&nbsp;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td><td width="100%"><code> [inline]</code></td>
</tr>
</table>
</div>
<div class="memdoc">
<p>
constructor
<p>
<dl compact><dt><b>Parameters:</b></dt><dd>
<table border="0" cellspacing="2" cellpadding="0">
<tr><td valign="top"></td><td valign="top"><em>eoBinaryQualityIndicator&lt;EOT&gt;*</em>&nbsp;</td><td>_I the binary quality indicator to use in the selection process </td></tr>
<tr><td valign="top"></td><td valign="top"><em>double</em>&nbsp;</td><td>_kappa scaling factor kappa </td></tr>
</table>
</dl>
<p>
Definition at line <a class="el" href="moeoIBEA_8h-source.html#l00373">373</a> of file <a class="el" href="moeoIBEA_8h-source.html">moeoIBEA.h</a>.
<p>
References <a class="el" href="moeoIBEA_8h-source.html#l00390">moeoIBEAAvgSorting&lt; EOT, FitnessEval &gt;::kappa</a>.
</div>
</div><p>
<hr><h2>Member Function Documentation</h2>
<a class="anchor" name="b62fcfda9ac75352479fa06952754f90"></a><!-- doxytag: member="moeoIBEAAvgSorting::setBounds" ref="b62fcfda9ac75352479fa06952754f90" args="(const eoPop&lt; EOT &gt; &amp;_pop)" -->
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;class EOT, class FitnessEval = typename EOT::Fitness::FitnessEval&gt; </div>
<table class="memname">
<tr>
<td class="memname">void <a class="el" href="classmoeoIBEAAvgSorting.html">moeoIBEAAvgSorting</a>&lt; EOT, FitnessEval &gt;::setBounds </td>
<td>(</td>
<td class="paramtype">const <a class="elRef" doxygen="eo.doxytag:../../../workspace/paradiseo-eo/doc/doc/html/" href="../../../workspace/paradiseo-eo/doc/doc/html/classeo_pop.html">eoPop</a>&lt; EOT &gt; &amp;&nbsp;</td>
<td class="paramname"> <em>_pop</em> </td>
<td>&nbsp;)&nbsp;</td>
<td width="100%"><code> [inline, private, virtual]</code></td>
</tr>
</table>
</div>
<div class="memdoc">
<p>
computation and setting of the bounds for each objective
<p>
<dl compact><dt><b>Parameters:</b></dt><dd>
<table border="0" cellspacing="2" cellpadding="0">
<tr><td valign="top"></td><td valign="top"><em>const</em>&nbsp;</td><td>eoPop&lt;EOT&gt;&amp; _pop the population </td></tr>
</table>
</dl>
<p>
Implements <a class="el" href="classmoeoIBEA.html">moeoIBEA&lt; EOT, FitnessEval &gt;</a>.
<p>
Definition at line <a class="el" href="moeoIBEA_8h-source.html#l00398">398</a> of file <a class="el" href="moeoIBEA_8h-source.html">moeoIBEA.h</a>.
<p>
References <a class="el" href="moeoIBEA_8h-source.html#l00067">moeoIBEA&lt; EOT, FitnessEval &gt;::I</a>, and <a class="el" href="moeoBinaryQualityIndicator_8h-source.html#l00051">moeoBinaryQualityIndicator&lt; EOFitness &gt;::setBounds()</a>.
</div>
</div><p>
<a class="anchor" name="e88f9280e5c81cd0b54d738b7863dc1d"></a><!-- doxytag: member="moeoIBEAAvgSorting::fitnesses" ref="e88f9280e5c81cd0b54d738b7863dc1d" args="(const eoPop&lt; EOT &gt; &amp;_pop)" -->
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;class EOT, class FitnessEval = typename EOT::Fitness::FitnessEval&gt; </div>
<table class="memname">
<tr>
<td class="memname">void <a class="el" href="classmoeoIBEAAvgSorting.html">moeoIBEAAvgSorting</a>&lt; EOT, FitnessEval &gt;::fitnesses </td>
<td>(</td>
<td class="paramtype">const <a class="elRef" doxygen="eo.doxytag:../../../workspace/paradiseo-eo/doc/doc/html/" href="../../../workspace/paradiseo-eo/doc/doc/html/classeo_pop.html">eoPop</a>&lt; EOT &gt; &amp;&nbsp;</td>
<td class="paramname"> <em>_pop</em> </td>
<td>&nbsp;)&nbsp;</td>
<td width="100%"><code> [inline, private, virtual]</code></td>
</tr>
</table>
</div>
<div class="memdoc">
<p>
computation and setting of the fitness for each individual of the population
<p>
<dl compact><dt><b>Parameters:</b></dt><dd>
<table border="0" cellspacing="2" cellpadding="0">
<tr><td valign="top"></td><td valign="top"><em>const</em>&nbsp;</td><td>eoPop&lt;EOT&gt;&amp; _pop the population </td></tr>
</table>
</dl>
<p>
Implements <a class="el" href="classmoeoIBEA.html">moeoIBEA&lt; EOT, FitnessEval &gt;</a>.
<p>
Definition at line <a class="el" href="moeoIBEA_8h-source.html#l00431">431</a> of file <a class="el" href="moeoIBEA_8h-source.html">moeoIBEA.h</a>.
<p>
References <a class="el" href="moeoIBEA_8h-source.html#l00390">moeoIBEAAvgSorting&lt; EOT, FitnessEval &gt;::kappa</a>, and <a class="elRef" doxygen="eo.doxytag:../../../workspace/paradiseo-eo/doc/doc/html/" href="../../../workspace/paradiseo-eo/doc/doc/html/classeo_value_param.html#a2">eoValueParam&lt; std::vector&lt; WorthT &gt; &gt;::value()</a>.
</div>
</div><p>
<hr>The documentation for this class was generated from the following file:<ul>
<li><a class="el" href="moeoIBEA_8h-source.html">moeoIBEA.h</a></ul>
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