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	<title>蟻のコロニーシステム Archives &#8212; MATLAB Number ONE</title>
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		<title>MATLAB code (Ant Colony Optimization for privacy awareness requirements (PAR) )</title>
		<link>https://matlab1.com/shop/matlab-code/matlab-code-privacy-awareness-requirements-par/</link>
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		<pubDate>Sat, 20 Aug 2016 07:47:43 +0000</pubDate>
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					<description><![CDATA[<p>reference paper for this code is : Omoronyia, Inah, et al. &#8220;Engineering adaptive privacy: on the role of privacy awareness requirements.&#8221; Proceedings of the 2013 International Conference on Software Engineering. IEEE Press, 2013. Abstract : Applications that continuously gather and disclose personal information about users are increasingly common. While disclosing this information may be essential for these applications [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/matlab-code-privacy-awareness-requirements-par/">MATLAB code (Ant Colony Optimization for privacy awareness requirements (PAR) )</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>Ant Colony Optimization for vehicle routing problem</title>
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		<pubDate>Wed, 10 Feb 2016 09:19:30 +0000</pubDate>
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					<description><![CDATA[<p>Ant colony algorithms are inspired by the collaborative behavior of ants in real life. The ants wander randomly when looking for food but they are attracted to a substance, called pheromone, left by other ants. Pheromone is generated by the ants on their way back to the colony after reaching food. When several ants use [&#8230;]</p>
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