<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>अनुकूलन Archives &#8212; MATLAB Number ONE</title>
	<atom:link href="https://matlab1.com/product-tag/%e0%a4%85%e0%a4%a8%e0%a5%81%e0%a4%95%e0%a5%82%e0%a4%b2%e0%a4%a8/feed/" rel="self" type="application/rss+xml" />
	<link>https://matlab1.com/product-tag/अनुकूलन/</link>
	<description>MATLAB Simulink &#124; Tutorial &#124; Code &#124; Project</description>
	<lastBuildDate>Fri, 03 Dec 2021 06:15:04 +0000</lastBuildDate>
	<language>en-GB</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	

<image>
	<url>https://matlab1.com/wp-content/uploads/2018/08/icon1-100x100.png</url>
	<title>अनुकूलन Archives &#8212; MATLAB Number ONE</title>
	<link>https://matlab1.com/product-tag/अनुकूलन/</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Train Bayesian neural network by Artificial Bee Colony (ABC) algorithm</title>
		<link>https://matlab1.com/shop/matlab-code/train-bayesian-neural-network-artificial-bee-colony-abc-algorithm/</link>
					<comments>https://matlab1.com/shop/matlab-code/train-bayesian-neural-network-artificial-bee-colony-abc-algorithm/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Sun, 28 Aug 2016 06:39:16 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=669</guid>

					<description><![CDATA[<p>In this MATLAB code, Bayesian Neural Network is trained by Artificial Bee Colony (ABC) algorithm. reference : Ji, Junzhong, et al. &#8220;A hybrid method for learning Bayesian networks based on ant colony optimization.&#8221; Applied Soft Computing 11.4 (2011): 3373-3384. &#160; Output : &#160; &#160; Train Bayesian neural network by Genetic Algorithm (GA) &#160; Train Bayesian [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/train-bayesian-neural-network-artificial-bee-colony-abc-algorithm/">Train Bayesian neural network by Artificial Bee Colony (ABC) algorithm</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
					<wfw:commentRss>https://matlab1.com/shop/matlab-code/train-bayesian-neural-network-artificial-bee-colony-abc-algorithm/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Site layout planning Genetic Algorithm</title>
		<link>https://matlab1.com/shop/matlab-code/site-layout-planning-genetic-algorithm/</link>
					<comments>https://matlab1.com/shop/matlab-code/site-layout-planning-genetic-algorithm/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Sat, 27 Aug 2016 06:57:21 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=663</guid>

					<description><![CDATA[<p>We considered the following facilities in MATLAB code : Facilities represented by a two word. These selected words are arbitrary. The user can add any facility to the code. There is no limitation to the number of facilities. In addition to, the user can consider a radius for a facility. This parameter is selected based [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/site-layout-planning-genetic-algorithm/">Site layout planning Genetic Algorithm</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
					<wfw:commentRss>https://matlab1.com/shop/matlab-code/site-layout-planning-genetic-algorithm/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<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>
					<comments>https://matlab1.com/shop/matlab-code/matlab-code-privacy-awareness-requirements-par/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Sat, 20 Aug 2016 07:47:43 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=648</guid>

					<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>
]]></description>
		
					<wfw:commentRss>https://matlab1.com/shop/matlab-code/matlab-code-privacy-awareness-requirements-par/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
	</channel>
</rss>
