Use of genetic algorithms in experimental design optimization and thermal property estimation

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dc.contributor.authorGarcía, Sandrine
dc.date.accessioned2022-05-03T13:01:52Z
dc.date.available2022-05-03T13:01:52Z
dc.date.issued1997-06
dc.descriptionVolumen 7, Número1, Junio 1997en_US
dc.description.abstractThe goal of this paper is both to introduce the fields of experimental design optimization and thermal property estimation and to present Genetic Algorithm (GA) optimization method to the faculty of PUPR. This research environment is part of an ongoing overall research effort conducted at the Virginia Polytechnic Institute and State University (Virginia Tech) with an aim to instrument a complex structure and acquire meaningful thermal property data. Some preliminary work demonstrates that the GA method is a powerful means for both design optimization and parameter estimation.en_US
dc.identifier.citationGarcía, S. (1997). Use of genetic algorithms in experimental design optimization and thermal property estimation, Revista de la Universidad Politécnica de Puerto Rico, 7(1), 105-127.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/1509
dc.language.isoenen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.haspartSan Juanen_US
dc.relation.ispartofRevista de la Universidad Politécnica de Puerto Rico;
dc.rights.holderEsta Junta Editorial y la Universidad Politécnica de Puerto Rico hacen constar y reconoce que los autores de los artículos, obras literarias y artísticas publicadas en esta Revista Politechnê, se reservan enteramente los derechos de autor y de publicación de los mismos para los efectos de cualquier ventualidad literaria, publicitaria o de cualquier índole.en_US
dc.rights.licenseAll rights reserveden_US
dc.subject.lcshGenetic algorithmsen_US
dc.subject.lcshPolytechnic University of Puerto Rico--Faculty--Researchen_US
dc.titleUse of genetic algorithms in experimental design optimization and thermal property estimationen_US
dc.typeArticleen_US

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