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    <title>Machine Learning on Jamie Craane personal blog</title>
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      <title>Melody composition with genetic algorithms</title>
      <link>https://jamiecraane.dev/2009/06/16/ga_melody_composition/</link>
      <pubDate>Tue, 16 Jun 2009 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;&lt;strong&gt;Introduction&lt;/strong&gt;&#xA;Several techniques exist to create computer generated musical melodies. One of those techniques is genetic algorithms. Because the diversity of melodies over a specific range of notes is so large, genetic algorithms are a good candidate to help in composing melodies. This article describes how genetic algorithms can be used to compose musical melodies. this is explained following the steps needed to apply a genetic algorithm. These steps are:&lt;/p&gt;</description>
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      <title>Introduction to genetic algorithms</title>
      <link>https://jamiecraane.dev/2009/02/23/ga_introduction/</link>
      <pubDate>Mon, 23 Feb 2009 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Out of interest I am familiarizing myself in genetic algorithms, in short GA. My interest in GA came when I first heard about the JGAP project. As mentioned on the project&amp;rsquo;s site &amp;ldquo;JGAP (pronounced &amp;ldquo;jay-gap&amp;rdquo;) is a Genetic Algorithms and Genetic Programming component provided as a Java framework.&amp;rdquo;. For a newcomer I found it difficult to get a good overview about all the concepts introduced in genetic algorithms. Before diving into JGAP, I think it is essential that these concepts are well understood. This post is an introduction to genetic algorithms (GA) with JGAP and is explained with a concrete example. In one of my next posts I will demonstrate solving a problem with genetic programming (GP).&lt;/p&gt;</description>
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