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		<title>Shrinking Swarms, Smarter Search: New Study Ranks Population Reduction Strategies in Differential Evolution</title>
		<link>https://bioengineer.org/shrinking-swarms-smarter-search-new-study-ranks-population-reduction-strategies-in-differential-evolution/</link>
		
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		<pubDate>Sun, 11 Oct 2026 13:47:54 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[CEC 2024 benchmark]]></category>
		<category><![CDATA[differential evolution]]></category>
		<category><![CDATA[evolutionary computation]]></category>
		<category><![CDATA[Friedman test]]></category>
		<category><![CDATA[jSO algorithm]]></category>
		<category><![CDATA[linear population size reduction]]></category>
		<category><![CDATA[non-linear population size reduction]]></category>
		<category><![CDATA[numerical optimization]]></category>
		<category><![CDATA[population size reduction]]></category>
		<category><![CDATA[real-world optimization]]></category>
		<category><![CDATA[University of Maribor]]></category>
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					<description><![CDATA[A comprehensive review of 204 studies and new experiments on the CEC 2024 benchmark show that non-linear population size reduction strategies generally outperform linear reduction in differential evolution, though no single strategy dominates across all problem types.]]></description>
		
		
		
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