<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0188-4999</journal-id>
<journal-title><![CDATA[Revista internacional de contaminación ambiental]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Int. Contam. Ambient]]></abbrev-journal-title>
<issn>0188-4999</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Instituto de Ciencias de la Atmósfera y Cambio Climático]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0188-49992005000400201</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[APLICACIÓN DEL MÉTODO DE OPTIMIZACIÓN DE RECOCIDO SIMULADO EN LA REGRESIÓN DE ISOTERMAS DE ADSORCIÓN]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bonilla-Petriciolet]]></surname>
<given-names><![CDATA[Adrián]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lira-Padilla]]></surname>
<given-names><![CDATA[María Guadalupe]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Soto-Becerra]]></surname>
<given-names><![CDATA[Carlos A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Tecnológico de Aguascalientes Departamento de Ingeniería Química ]]></institution>
<addr-line><![CDATA[Aguascalientes Ags]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2005</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2005</year>
</pub-date>
<volume>21</volume>
<numero>4</numero>
<fpage>201</fpage>
<lpage>206</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0188-49992005000400201&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0188-49992005000400201&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0188-49992005000400201&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN El ajuste de parámetros en modelos termodinámicos, entre ellos las isotermas de adsorción, es un problema multivariable y no lineal que puede presentar diversos óptimos locales. Generalmente los métodos de optimización utilizados en el ajuste de isotermas de adsorción son eficientes pero poco robustos. El objetivo de este trabajo es la aplicación del método estocástico de optimización global de recocido simulado en la regresión no lineal de modelos para isotermas de adsorción. Este método ha sido utilizado en el ajuste de datos experimentales empleando las isotermas de Toth y Sips. Los resultados obtenidos indican que dicho método es más confiable que las estrategias convencionales utilizadas en la obtención de los parámetros de las isotermas de adsorción.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT The nonlinear parameter estimation of thermodynamic models, including the adsorption isotherms, is a multivariable and nonlinear problem that can present several local optimums. The conventional optimization methods used in the parameter estimation of adsorption isotherms are efficient but they are not reliable to solve such problem. In this paper, we describe the application of the stochastic global optimization method simulated annealing in the nonlinear regression of adsorption isotherms. This method has been applied with Toth and Sips models. Our results indicate that this method is a reliable optimization strategy for parameter estimation in adsorption isotherms.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[recocido simulado]]></kwd>
<kwd lng="es"><![CDATA[regresión no lineal de parámetros]]></kwd>
<kwd lng="es"><![CDATA[adsorción]]></kwd>
<kwd lng="en"><![CDATA[simulated annealing]]></kwd>
<kwd lng="en"><![CDATA[nonlinear regression]]></kwd>
<kwd lng="en"><![CDATA[adsorption]]></kwd>
</kwd-group>
</article-meta>
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