[{"Value":"","Discard":false,"Expires":9999999999}]<?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>AIOS</title>
	<atom:link href="https://aiosciv.com/feed/" rel="self" type="application/rss+xml" />
	<link>https://aiosciv.com</link>
	<description>Ingeniería Estructural</description>
	<lastBuildDate>Wed, 08 Dec 2021 03:55:44 +0000</lastBuildDate>
	<language>es</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1.2</generator>

<image>
	<url>https://aiosciv.com/wp-content/uploads/2020/05/cropped-LOGO_cuadrado-32x32.png</url>
	<title>AIOS</title>
	<link>https://aiosciv.com</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Primer</title>
		<link>https://aiosciv.com/primer/</link>
					<comments>https://aiosciv.com/primer/#respond</comments>
		
		<dc:creator><![CDATA[Elmer Cusipuma]]></dc:creator>
		<pubDate>Wed, 08 Dec 2021 03:55:41 +0000</pubDate>
				<category><![CDATA[Sin categoría]]></category>
		<guid isPermaLink="false">https://aiosciv.com/?p=3106</guid>

					<description><![CDATA[Differential evolution (DE) is a population-based metaheuristic search algorithm that optimizes a problem by iteratively improving a candidate solution based on an evolutionary process. Such algorithms make few or no assumptions about the underlying optimization problem and can quickly explore very large design spaces]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">Differential evolution (DE) is <strong>a population-based metaheuristic search algorithm that optimizes a problem by iteratively improving a candidate solution based on an evolutionary process</strong>. Such algorithms make few or no assumptions about the underlying optimization problem and can quickly explore very large design spaces</p>
]]></content:encoded>
					
					<wfw:commentRss>https://aiosciv.com/primer/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
	</channel>
</rss>