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	<title>optimización Archives &#8212; MATLAB Number ONE</title>
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		<title>Train Bayesian neural network by Artificial Bee Colony (ABC) algorithm</title>
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		<pubDate>Sun, 28 Aug 2016 06:39:16 +0000</pubDate>
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					<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>
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		<title>Site layout planning Genetic Algorithm</title>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Sat, 27 Aug 2016 06:57:21 +0000</pubDate>
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					<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>
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