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		<identifier>J8LNKAN8RW/3E7US3J</identifier>
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		<doi>10.1080/17415977.2012.712530</doi>
		<issn>1741-5977</issn>
		<issn>1741-5985</issn>
		<label>lattes: 5142426481528206 2 AraújoCampGome:2013:CaHyMo</label>
		<citationkey>AraújoCampGome:2013:CaHyMo</citationkey>
		<title>Calibrating an hydrological model by an evolutionary strategy for multi-objective optimization</title>
		<year>2013</year>
		<typeofwork>journal article</typeofwork>
		<secondarytype>PRE PI</secondarytype>
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		<size>753 KiB</size>
		<author>Araújo, Amarísio da Silva,</author>
		<author>Campos Velho, Haroldo Fraga de,</author>
		<author>Gomes, Vitor Conrado Faria,</author>
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		<group>CAP-COMP-SPG-INPE-MCTI-GOV-BR</group>
		<group>LAC-CTE-INPE-MCTI-GOV-BR</group>
		<group>LAC-CTE-INPE-MCTI-GOV-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress>haroldo@lac.inpe.br</electronicmailaddress>
		<e-mailaddress>haroldo@lac.inpe.br</e-mailaddress>
		<journal>Inverse Problems in Science and Engineering</journal>
		<volume>21</volume>
		<number>3</number>
		<pages>438-450</pages>
		<transferableflag>1</transferableflag>
		<contenttype>External Contribution</contenttype>
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		<keywords>Hydrological model calibration, Epidemic genetic algorithm, Multi-objective approach.</keywords>
		<abstract>Hydrologic models simulate the river flow from the contributing basin for a given river. For the simulation process, the integration domain is discretized into computational cells. The inputs for such models are precipitation ratio and the initial flow. There are many parameters to be determined for an operational model, including the type of soil (porosity field, water flux between the bottom of the river and the water layer, among others). The process to identify the best numerical values for such parameters is the calibration procedure, belonging to the class of inverse problems for parameter determination. However, there is no unique set of parameters for representing the hydrology cycle. A multi-objective approach is employed to address the problem. The Pareto set is calculated for the IPH2 model by an epidemic genetic algorithm.</abstract>
		<area>COMP</area>
		<language>en</language>
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		<url>http://www.tandfonline.com/doi/abs/10.1080/17415977.2012.712530?journalCode=gipe20#preview</url>
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		<notes>Informações Adicionais: Version of record first published: 09 Nov 2012.</notes>
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