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<oembed><version>1.0</version><provider_name>ISTE Group</provider_name><provider_url>https://www.istegroup.com/fr</provider_url><author_name>Marcio Marim</author_name><author_url>https://www.istegroup.com/fr/profile/marcio-marim/</author_url><title>Guided Randomness in Optimization - ISTE Group</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="SuXorKTbit"&gt;&lt;a href="https://www.istegroup.com/fr/book/guided-randomness-in-optimization/"&gt;Guided Randomness in Optimization&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.istegroup.com/fr/book/guided-randomness-in-optimization/embed/#?secret=SuXorKTbit" width="600" height="338" title="&#xAB;&#xA0;Guided Randomness in Optimization&#xA0;&#xBB; &#x2014; ISTE Group" data-secret="SuXorKTbit" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><thumbnail_url>https://www.istegroup.com/wp-content/uploads/2018/01/doc_rswqnezguojm.jpg</thumbnail_url><thumbnail_width>943</thumbnail_width><thumbnail_height>1500</thumbnail_height><description>Optimization metaheuristics proceed to &#x201C;pot luck&#x201D; as to whether to carry out certain choices or apply certain rules, for which they must use one or several random number generators (RNGs). There are several types of RNG, from the truly random to the simply coded. They can be manipulated to produce specific distributions.The performances of an [&hellip;]</description></oembed>
