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		<title>Platypus-Inspired Algorithm Brings Animal Sensing to Optimization</title>
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		<category><![CDATA[bio-inspired optimization]]></category>
		<category><![CDATA[CEC 2017]]></category>
		<category><![CDATA[Cluster Computing]]></category>
		<category><![CDATA[constrained optimization]]></category>
		<category><![CDATA[electroreception]]></category>
		<category><![CDATA[Engineering Design]]></category>
		<category><![CDATA[exploration-exploitation balance]]></category>
		<category><![CDATA[metaheuristic]]></category>
		<category><![CDATA[platypus]]></category>
		<category><![CDATA[Radiation Therapy]]></category>
		<category><![CDATA[sensor fusion]]></category>
		<category><![CDATA[Swarm Intelligence]]></category>
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					<description><![CDATA[Researchers have developed a new optimization algorithm modeled on how the platypus uses electroreception and spatial memory to hunt, showing competitive performance on benchmarks and engineering design problems.]]></description>
		
		
		
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