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ArraySelectionAlgorithm (java-neuralnet API)
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net.openai.ai.ga.selection</FONT>
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Interface  ArraySelectionAlgorithm</H2>
<DL>
<DT><B>All Known Implementing Classes:</B> <DD><A HREF="../../../../../net/openai/ai/ga/selection/common/ArraySelectTournament.html">ArraySelectTournament</A>, <A HREF="../../../../../net/openai/ai/ga/selection/common/ArraySelectUnion.html">ArraySelectUnion</A></DD>
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<DT>public interface <B>ArraySelectionAlgorithm</B></DL>

<P>
<code>ArraySelectionAlgorithm</code> is a method by which <code>
 Population</code> members are created and chosen from a
 <code>Population</code>. This algorithm is used for the selection of
 parents for recombination (reproduction).
<P>

<P>
<DL>
<DT><B>Since:</B><DD>JDK1.3</DD>
</DD>
<DT><B>Version:</B><DD>%I%, %G%</DD>
</DD>
<DT><B>Author:</B><DD>Jared Grubb</DD>
</DD>
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<CODE>&nbsp;<A HREF="../../../../../net/openai/ai/ga/population/PopulationArray.html">PopulationArray</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../net/openai/ai/ga/selection/ArraySelectionAlgorithm.html#selectFromPopulation(net.openai.ai.ga.population.Population)">selectFromPopulation</A></B>(<A HREF="../../../../../net/openai/ai/ga/population/Population.html">Population</A>&nbsp;pop)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Creates a <code>PopulationArray</code> according to a given algorithm
 or rule.</TD>
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<A NAME="selectFromPopulation(net.openai.ai.ga.population.Population)"><!-- --></A><H3>
selectFromPopulation</H3>
<PRE>
public <A HREF="../../../../../net/openai/ai/ga/population/PopulationArray.html">PopulationArray</A> <B>selectFromPopulation</B>(<A HREF="../../../../../net/openai/ai/ga/population/Population.html">Population</A>&nbsp;pop)</PRE>
<DL>
<DD>Creates a <code>PopulationArray</code> according to a given algorithm
 or rule. The initial <code>Population</code> is passed and a selection
 from it is chosen and returned.

 <p>This function is passed a shallow clone of the original population,
 therefore allowing additions and deletions to the passed population
 without worry about how it affects the original. Any changes meant for
 the original <code>Population</code> should be handled through the
 recombination and survival implementations of this algorithm.

 <p>The returned <code>PopulationArray</code> should not be considered
 crucial to any internal functions of this implementation of the <code>
 ArraySelectionAlgorithm</code>, since the genetic algorithm may make
 changes directly onto this structure and may make the structure
 available for others to make changes to. If the structure is needed
 internally and such behavior could be detrimental to this
 implementation's function, then it is recommended that a shallow
 clone be returned via a <code>return new
 PopulationArray(returnPopulationArray)</code> rather than a plain
 <code>return returnPopulationArray</code>. This allows for this
 additional overhead to be avoided in cases where it not needed.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>pop</CODE> - the <code>Population</code> to choose from
<DT><B>Returns:</B><DD>a <code>PopulationArray</code> derived from the passed
 		<code>Population</code></DL>
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