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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc (build 1.5.0_13) on Mon Jul 14 01:36:22 CEST 2008 --><TITLE>GeneticAlgorithm (RapidMiner Class Documentation)</TITLE><META NAME="keywords" CONTENT="com.rapidminer.operator.features.selection.GeneticAlgorithm class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){    parent.document.title="GeneticAlgorithm (RapidMiner Class Documentation)";}</SCRIPT><NOSCRIPT></NOSCRIPT></HEAD><BODY BGCOLOR="white" onload="windowTitle();"><!-- ========= START OF TOP NAVBAR ======= --><A NAME="navbar_top"><!-- --></A><A HREF="#skip-navbar_top" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY="">  <TR ALIGN="center" VALIGN="top">  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="package-summary.html"><FONT CLASS="NavBarFont1"><B>Package</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> &nbsp;<FONT CLASS="NavBarFont1Rev"><B>Class</B></FONT>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="class-use/GeneticAlgorithm.html"><FONT CLASS="NavBarFont1"><B>Use</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../../../deprecated-list.html"><FONT CLASS="NavBarFont1"><B>Deprecated</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../../../index-all.html"><FONT CLASS="NavBarFont1"><B>Index</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../../../help-doc.html"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A>&nbsp;</TD>  </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2">&nbsp;<A HREF="../../../../../com/rapidminer/operator/features/selection/ForwardSelection.html" title="class in com.rapidminer.operator.features.selection"><B>PREV CLASS</B></A>&nbsp;&nbsp;<A HREF="../../../../../com/rapidminer/operator/features/selection/IterativeFeatureAdding.html" title="class in com.rapidminer.operator.features.selection"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2">  <A HREF="../../../../../index.html?com/rapidminer/operator/features/selection/GeneticAlgorithm.html" target="_top"><B>FRAMES</B></A>  &nbsp;&nbsp;<A HREF="GeneticAlgorithm.html" target="_top"><B>NO FRAMES</B></A>  &nbsp;&nbsp;<SCRIPT type="text/javascript">  <!--  if(window==top) {    document.writeln('<A HREF="../../../../../allclasses-noframe.html"><B>All Classes</B></A>'); 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Selection is done by roulette wheel. Genetic algorithms are general purpose optimization / search algorithms that are suitable in case of no or little problem knowledge. <br/>  A genetic algorithm works as follows <ol> <li>Generate an initial population consisting of <code>population_size</code> individuals. Each attribute is switched on with probability <code>p_initialize</code></li> <li>For all individuals in the population <ul> <li>Perform mutation, i.e. set used attributes to unused with probability <code>p_mutation</code> and vice versa.</li> <li>Choose two individuals from the population and perform crossover with probability <code>p_crossover</code>. The type of crossover can be selected by <code>crossover_type</code>.</li> </ul> </li> <li>Perform selection, map all individuals to sections on a roulette wheel whose size is proportional to the individual's fitness and draw <code>population_size</code> individuals at random according to their probability.</li> <li>As long as the fitness improves, go to 2</li> </ol>  If the example set contains value series attributes with blocknumbers, the whole block will be switched on and off.<P><P><DL><DT><B>Version:</B></DT>  <DD>$Id: GeneticAlgorithm.java,v 1.7 2008/05/09 19:23:18 ingomierswa Exp $</DD><DT><B>Author:</B></DT>  <DD>Ingo Mierswa, Simon Fischer</DD></DL><HR><P><!-- =========== FIELD SUMMARY =========== --><A NAME="field_summary"><!-- --></A>

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