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    <title>Swarm Intelligence on Flo&#39;s Thoughts</title>
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      <title>Ant Colony Optimization TSP – OpenProcessing</title>
      <link>https://flohei.de/2010/06/ant-colony-optimization-tsp-openprocessing/</link>
      <pubDate>Sat, 26 Jun 2010 19:33:38 +0200</pubDate>
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      <description>&lt;p&gt;We&amp;rsquo;ve been working on our Swarm Intelligence project lately and found this website which illustrates the travelling salesman problem pretty good, I think. Just check it out and move the little city objects around. That&amp;rsquo;s very interesting.&lt;/p&gt;</description>
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      <title>ACO vs. PSO – Basics</title>
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      <pubDate>Mon, 24 May 2010 19:51:26 +0200</pubDate>
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      <description>&lt;p&gt;Since I&amp;rsquo;ve been looking for some resources on our Swarm Intelligence project I found &lt;a href=&#34;http://sandipmit.blogspot.com/2008/09/aco-vs-pso-what-to-use-when.html&#34;  class=&#34;external-link&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;this&lt;/a&gt; description of PSO and ACO that made me understand it quite a bit better:&lt;/p&gt;&#xA;&lt;blockquote&gt;&#xA;&lt;p&gt;ACO is mostly used for discrete optimization problems. PSO is mostly used for continuous optimization problems. Reason behind this is:&#xA;ACO is driven by two parameters: heuristic value and pheromone value. Mostly these values are derived from parameters having discrete values.&#xA;PSO is driven by neighbor’s velocity. Velocity is continuous parameter. As one of the parameters used for deriving velocity is time and time iscontinuous.&lt;/p&gt;</description>
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