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	<title>Comments on: Genetic Algorithms</title>
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	<link>http://sqlinthewild.co.za/index.php/2010/01/28/genetic-algorithms/</link>
	<description>A discussion on SQL Server</description>
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		<title>By: Sean Cowburn</title>
		<link>http://sqlinthewild.co.za/index.php/2010/01/28/genetic-algorithms/comment-page-1/#comment-617</link>
		<dc:creator>Sean Cowburn</dc:creator>
		<pubDate>Fri, 29 Jan 2010 13:34:25 +0000</pubDate>
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		<description>Thanks for that! I am glad I wasn&#039;t completely lost. By using a biased random, it sounds like you too (intuitively) used a genetic algorithm to get &quot;useful&quot; individuals. Interesting.

There is nothing like pumping some &quot;cranial iron&quot; to get revved up for the weekend ;-) (That does make me sound like a boring person, doesn&#039;t it? But it was fun!)

Have a good one.</description>
		<content:encoded><![CDATA[<p>Thanks for that! I am glad I wasn&#8217;t completely lost. By using a biased random, it sounds like you too (intuitively) used a genetic algorithm to get &#8220;useful&#8221; individuals. Interesting.</p>
<p>There is nothing like pumping some &#8220;cranial iron&#8221; to get revved up for the weekend <img src='http://sqlinthewild.co.za/wp-includes/images/smilies/icon_wink.gif' alt=';-)' class='wp-smiley' />  (That does make me sound like a boring person, doesn&#8217;t it? But it was fun!)</p>
<p>Have a good one.</p>
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		<title>By: Gail</title>
		<link>http://sqlinthewild.co.za/index.php/2010/01/28/genetic-algorithms/comment-page-1/#comment-616</link>
		<dc:creator>Gail</dc:creator>
		<pubDate>Fri, 29 Jan 2010 12:17:21 +0000</pubDate>
		<guid isPermaLink="false">http://sqlinthewild.co.za/?p=531#comment-616</guid>
		<description>Oops, did I make a mistake calculating the fitnesses? I&#039;ll check.

You are correct with your fitness calculations.
The crossover pairs can be chosen in a variety of ways. Here I went for a biased random (I picked at random and, if the two didn&#039;t produce a useful new individual went back and picked two others)</description>
		<content:encoded><![CDATA[<p>Oops, did I make a mistake calculating the fitnesses? I&#8217;ll check.</p>
<p>You are correct with your fitness calculations.<br />
The crossover pairs can be chosen in a variety of ways. Here I went for a biased random (I picked at random and, if the two didn&#8217;t produce a useful new individual went back and picked two others)</p>
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		<title>By: Sean Cowburn</title>
		<link>http://sqlinthewild.co.za/index.php/2010/01/28/genetic-algorithms/comment-page-1/#comment-615</link>
		<dc:creator>Sean Cowburn</dc:creator>
		<pubDate>Fri, 29 Jan 2010 08:42:52 +0000</pubDate>
		<guid isPermaLink="false">http://sqlinthewild.co.za/?p=531#comment-615</guid>
		<description>Hi Gail
This made an interesting read although I have never dealt with AI before.

Even though I don&#039;t fully understand what&#039;s going on, I tried doing the reader&#039;s exercise and was stumped for quite a while trying to come up with your results for the 2nd generation. This carried on for a while until I realised that the fitness for 1010 0101 0010 0101 isn&#039;t (10-5-4+5) = 6, but rather (10-5-2+5) = 8.
Lacking natural intelligence, not to mention the inability to comprehend the artificial sort :-), I was concentrating on the numeric values and ignoring the binary ones.

Two questions:
1. Am I on the money with the above?
2. How does the algorithm decide which two individuals are to be crossover partners?

Otherwise, thanks for your blog which is always an interesting read.</description>
		<content:encoded><![CDATA[<p>Hi Gail<br />
This made an interesting read although I have never dealt with AI before.</p>
<p>Even though I don&#8217;t fully understand what&#8217;s going on, I tried doing the reader&#8217;s exercise and was stumped for quite a while trying to come up with your results for the 2nd generation. This carried on for a while until I realised that the fitness for 1010 0101 0010 0101 isn&#8217;t (10-5-4+5) = 6, but rather (10-5-2+5) = 8.<br />
Lacking natural intelligence, not to mention the inability to comprehend the artificial sort <img src='http://sqlinthewild.co.za/wp-includes/images/smilies/icon_smile.gif' alt=':-)' class='wp-smiley' /> , I was concentrating on the numeric values and ignoring the binary ones.</p>
<p>Two questions:<br />
1. Am I on the money with the above?<br />
2. How does the algorithm decide which two individuals are to be crossover partners?</p>
<p>Otherwise, thanks for your blog which is always an interesting read.</p>
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