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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Use of genetic algorithm for fitting Sovova's mass transfer model</dc:title><dc:creator>Hrnčič,	Dejan	(Avtor)
	</dc:creator><dc:creator>Mernik,	Marjan	(Avtor)
	</dc:creator><dc:creator>Knez Marevci,	Maša	(Avtor)
	</dc:creator><dc:subject>Sovova's mass transfer model</dc:subject><dc:subject>genetic algorithm</dc:subject><dc:subject>parameter estimation</dc:subject><dc:description>A genetic algorithm with resizable population has been applied to the estimation of parameters for Sovovaćs mass transfer model. The comparison of results between a genetic algorithm and a global optimizer from the literatureshows that a genetic algorithm performs as good as or better than a global optimizer on a given set of problems. Other benefits of the genetic algorithm, for mass transfer modeling, are simplicity, robustness and efficiency.</dc:description><dc:date>2010</dc:date><dc:date>2012-05-31 14:45:25</dc:date><dc:type>Znanstveno delo</dc:type><dc:identifier>26701</dc:identifier><dc:identifier>ISSN: 1318-0207</dc:identifier><dc:identifier>UDK: 66</dc:identifier><dc:identifier>OceCobissID: 14086149</dc:identifier><dc:identifier>COBISS_ID: 14648598</dc:identifier><dc:identifier>ISSN pri članku: 1318-0207</dc:identifier><dc:identifier>NUK URN: URN:SI:UM:DK:429SCJAR</dc:identifier><dc:language>sl</dc:language></metadata>
