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	<title>evolutionary algorithms Archives &#8211; The Green Optimistic</title>
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		<title>Evolutionary Theories Inspire Wind Turbine Placement to Maximize Space Efficiency</title>
		<link>https://www.greenoptimistic.com/neumann-evolutionary-wind-turbine-placement-20110504/</link>
					<comments>https://www.greenoptimistic.com/neumann-evolutionary-wind-turbine-placement-20110504/#respond</comments>
		
		<dc:creator><![CDATA[Ovidiu Sandru]]></dc:creator>
		<pubDate>Wed, 04 May 2011 16:56:31 +0000</pubDate>
				<category><![CDATA[Wind Power]]></category>
		<category><![CDATA[evolutionary algorithm]]></category>
		<category><![CDATA[evolutionary algorithms]]></category>
		<category><![CDATA[evolutionary theory]]></category>
		<category><![CDATA[Frank Neumann]]></category>
		<category><![CDATA[University of Adelaide]]></category>
		<category><![CDATA[wind turbine]]></category>
		<category><![CDATA[wind turbine placement]]></category>
		<guid isPermaLink="false">https://www.greenoptimistic.com/?p=18429</guid>

					<description><![CDATA[<p>Building wind turbines surely is a challenging task for the engineers in charge with it. A recent study, followed by the development of a software could clear out all the issues of wind turbine placement, so they don't interfere with each other and still occupy as little space as possible. The new approach is based on evolutionary algorithms developed by Dr. Frank Neumann, from the University of Adelaide.</p>
<p>The post <a href="https://www.greenoptimistic.com/neumann-evolutionary-wind-turbine-placement-20110504/">Evolutionary Theories Inspire Wind Turbine Placement to Maximize Space Efficiency</a> appeared first on <a href="https://www.greenoptimistic.com">The Green Optimistic</a>.</p>
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