<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Industry Collaboration | Intelligent Optimization Lab</title><link>https://iolab.uniud.it/tag/industry-collaboration/</link><atom:link href="https://iolab.uniud.it/tag/industry-collaboration/index.xml" rel="self" type="application/rss+xml"/><description>Industry Collaboration</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-US</language><lastBuildDate>Thu, 07 Mar 2024 14:30:00 +0100</lastBuildDate><image><url>https://iolab.uniud.it/media/logo_hu_1bf0f7e2664ed9eb.png</url><title>Industry Collaboration</title><link>https://iolab.uniud.it/tag/industry-collaboration/</link></image><item><title>Forty Years of Industry-University Collaboration</title><link>https://iolab.uniud.it/event/forty-years-industry-university-collaboration/</link><pubDate>Thu, 07 Mar 2024 14:30:00 +0100</pubDate><guid>https://iolab.uniud.it/event/forty-years-industry-university-collaboration/</guid><description>&lt;p&gt;&lt;strong&gt;Mauricio G. C. Resende&lt;/strong&gt; is an Affiliate Professor of Industrial and Systems Engineering at the University of Washington. He was previously a Principal Research Scientist at Amazon and a Lead Scientist at Bell Labs and AT&amp;amp;T Labs Research, and is an INFORMS Fellow.&lt;/p&gt;
&lt;p&gt;He is best known for his work on metaheuristics, particularly greedy randomized adaptive search procedures (GRASP) and biased random-key genetic algorithms (BRKGA), as well as interior-point methods for linear programming and network flows. He has published more than 200 papers on optimization, holds 15 U.S. patents, and has edited several major handbooks in optimization. He is co-author of &lt;em&gt;Optimization by GRASP&lt;/em&gt; (Springer, 2016).&lt;/p&gt;</description></item></channel></rss>