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Glossary of Genetic Programming Terms</td>
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<h1 class="dtH1" style="font-size: 85%; position: relative; left: 5px;">Genetic Programming Term </h1>
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<p> An <a href="file:///C:/dev/GeneticProgrammingEngine/build/documentation/Glossary.EvolutionaryAlgorithms.html">Evolutionary Algorithms</a> technique using computer programming. </p>
<H4 class="dtH4">Remarks</H4>
<P><strong>Genetic Programming</strong> works with <a href="Glossary.Objects.Individual.html">Individual</a>s that are computer programs. All generated <strong>Individual</strong>s use methods defined in a <em>Base Class</em> (or other repository). These methods are the operations available for solving the problem. </P>
<P>For example, if you were trying to find a mathematical formula, you would provide methods like <code>add</code>, <code>subtract</code>, etc, or <code>sine</code>, <code>cosine</code>, <code>exponent</code>, etc, or any others that would be appropriate for the problem data. Including unrelated methods will not hide a solution, but it will slow processing. Generally, if information is known about a problem (i.e. in this example, if the data is known to come from a polynomial function), it is a good idea to limit the available methods to those closely related to the problem.</P>
<P><em><br>
Genetic Programming Algorithm</em></P>
<P>The basic algorithm used by <strong>Genetic Programming</strong> is outlined in the pseudo-code shown below: <pre class="code">CurrentGeneration = 0;
InitializeRandomPopulation();
EvaluatePopulation();
while( !SolutionFound() ) {
++CurrentGeneration;
SelectBreeders();
BreedChildren();
MutateChildren();
EvaluatePopulation();
}</pre></P>
<P>This algorithm is basically identical to that used by other <a href="Glossary.EvolutionaryAlgorithms.html">Evolutionary Algorithms</a> techniques. The difference is that these pseudo-methods work with a <a href="Glossary.Objects.Population.html">Population</a> composed of computer program <strong>Individual</strong>s.</P>
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<h4 style="position: relative; top: -5px;">Design Note</h4>
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<p>In this framework, the <a href="GeneticProgrammingEngine.GPEngine.html">GPEngine</a> implements the <strong>Genetic Programming</strong> algorithm in its <a href="GeneticProgrammingEngine.GPEngine.Run.html">Run</a> method.</p>
<p>The framework uses the <em>Base Class</em> style for <a href="Glossary.Objects.Individual.html">Individual</a> generation. All new <strong>Individual</strong>s inherit from the problem's <a href="GeneticProgrammingEngine.ProblemSpace.IIndividual.html">IIndividual</a> <em>Base Class</em>. See the documentation for <a href="Glossary.ProblemSpace.html">Problem Space</a> for more information.</p>
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<h4 class="dtH4">See Also</h4>
<P><a href="http://en.wikipedia.org/wiki/Genetic_programming"><img src="http://en.wikipedia.org/favicon.ico" border="0" align="absmiddle"> Genetic Programming</a> | <a href="Glossary.EvolutionaryAlgorithms.html">Evolutionary Algorithms Term</a> | <a href="Glossary.ProblemSpace.html">Problem Space Term</a> | <a href="GeneticProgrammingEngine.GPEngine.html">GPEngine Class</a> | <a href="GeneticProgrammingEngine.GPEngine.Run.html">Run Method</a> </P>
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