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		<title>Bee-Inspired Algorithm Tracks Hidden Contamination in City Water Pipes</title>
		<link>https://bioengineer.org/bee-inspired-algorithm-tracks-hidden-contamination-in-city-water-pipes/</link>
		
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		<pubDate>Wed, 07 Oct 2026 16:56:35 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[artificial bee colony algorithm]]></category>
		<category><![CDATA[chlorine decay]]></category>
		<category><![CDATA[contamination source identification]]></category>
		<category><![CDATA[EPANET]]></category>
		<category><![CDATA[genetic algorithm]]></category>
		<category><![CDATA[inverse problem]]></category>
		<category><![CDATA[metaheuristic optimization]]></category>
		<category><![CDATA[residual chlorine]]></category>
		<category><![CDATA[shuffled frog algorithm]]></category>
		<category><![CDATA[water distribution networks]]></category>
		<category><![CDATA[water quality monitoring]]></category>
		<category><![CDATA[water security]]></category>
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					<description><![CDATA[Researchers coupled an improved artificial bee colony algorithm with EPANET simulations to simultaneously identify the location, timing, and concentration of contamination sources in water distribution networks, validating the framework on a benchmark network and a real Iranian city system.]]></description>
		
		
		
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