<?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>1409-2433</journal-id>
<journal-title><![CDATA[Revista de Matemática Teoría y Aplicaciones]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Mat]]></abbrev-journal-title>
<issn>1409-2433</issn>
<publisher>
<publisher-name><![CDATA[Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1409-24332014000100007</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Colonia de abejas artificiales y optimización por enjambre de partículas para la estimación de parámetros de regresión no lineal artificial]]></article-title>
<article-title xml:lang="en"><![CDATA[Bee colony and particle swarm optimization for the estimation of nonlinear regression parameters]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[de-los-Cobos-Silva]]></surname>
<given-names><![CDATA[Sergio]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gutiérrez-Andrade]]></surname>
<given-names><![CDATA[Miguel A.]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rincón-García]]></surname>
<given-names><![CDATA[Eric A.]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lara-Velázquez]]></surname>
<given-names><![CDATA[Pedro]]></given-names>
</name>
<xref ref-type="aff" rid="A04"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Aguilar-Cornejo]]></surname>
<given-names><![CDATA[Manuel]]></given-names>
</name>
<xref ref-type="aff" rid="A05"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidad Autónoma Metropolitana-Iztapalapa  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Universidad Autónoma Metropolitana-Iztapalapa  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<aff id="A03">
<institution><![CDATA[,Universidad Autónoma Metropolitana-Azcapotzalco  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="A04">
<institution><![CDATA[,Universidad Autónoma Metropolitana-Azcapotzalco  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<aff id="A05">
<institution><![CDATA[,Universidad Autónoma Metropolitana-Iztapalapa  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2014</year>
</pub-date>
<volume>21</volume>
<numero>1</numero>
<fpage>107</fpage>
<lpage>126</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S1409-24332014000100007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S1409-24332014000100007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S1409-24332014000100007&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Este trabajo presenta la comparación de los resultados de las técnicas heurísticas de ABC colonias de abejas artificiales (Artificial Bee Colony) y PSO enjambres de partículas (Particle Swarm Optimization) que son utilizadas para la estimación de parámetros de modelos de regresión no lineal. Los algoritmos fueron probados sobre 27 bases de datos de la colección NIST(2001), de las cuales 8 son consideradas con un alto grado de dificultad, 11 con un grado de dificultad medio y 8 con un grado de dificultad bajo. Se presentan los resultados experimentales.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[This paper shows the comparison results of ABC (Artificial Bee Colony) and PSO (Particle Swarm Optimization) heuristic techniques that were used to estimate parameters for nonlinear regression models. The algorithms were tested on 27 data bases from the NIST collection (2001), 8 of these are considered to have high difficulty, 11 medium difficulty and 8 low difficulty. Experimental results are presented.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[colonias de abejas artificiales]]></kwd>
<kwd lng="es"><![CDATA[enjambres de partículas]]></kwd>
<kwd lng="es"><![CDATA[regresión no lineal]]></kwd>
<kwd lng="en"><![CDATA[artificial bee colony]]></kwd>
<kwd lng="en"><![CDATA[particle swarm optimization]]></kwd>
<kwd lng="en"><![CDATA[nonlinear regression]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <div style="text-align: justify;">     <div style="text-align: center;"><font  style="font-family: Verdana; font-weight: bold;" size="4">Colonia de abejas artificiales y optimizaci&oacute;n por enjambre de part&iacute;culas para la estimaci&oacute;n de par&aacute;metros de regresi&oacute;n no lineal artificial </font>    <br> </div> <font style="font-family: Verdana;" size="2"></font>    <br>     <div style="text-align: center;"><font  style="font-family: Verdana; font-weight: bold;" size="4">Bee colony and particle swarm optimitization for the estimation of nonlinear regression parameters</font><font  style="font-family: Verdana; font-weight: bold;" size="3"> </font></div>     <br>     <div style="text-align: center;"><font style="font-family: Verdana;"  size="2">Sergio de-los-Cobos-Silva<sup><a href="#1">*</a><a name="6"></a>*</sup></font><font  style="font-family: Verdana;" size="2"> Miguel A. Gutierrez-Andrade<sup><a  href="#2">&#8224;</a><a name="7"></a>*</sup></font><font  style="font-family: Verdana;" size="2"> Eric A. Rinc&oacute;on-Garc&iacute;a<sup><a href="#3">&#8225;</a><a name="9"></a>*</sup>&nbsp; </font><font style="font-family: Verdana;" size="2">Pedro Lara-Vel&aacute;zquez<sup><a href="#4">&sect;</a><a name="10"></a>*</sup></font><font  style="font-family: Verdana;" size="2"> Manuel Aguilar-Cornejo<sup><a  href="#5">&para;</a><a name="11"></a>*</sup></font>    <br> </div> <font style="font-family: Verdana;" size="2"></font>    <br>     <br> <small><span style="font-family: Verdana;"><a name="Correspondencia2"></a>*<a  href="#Correspondencia1">Direcci&oacute;n para correspondencia</a></span></small><a  href="#Correspondencia1">:</a>    ]]></body>
<body><![CDATA[<br> <hr style="width: 100%; height: 2px;"><font  style="font-family: Verdana;" size="2"></font><font  style="font-family: Verdana; font-weight: bold;" size="3">Resumen</font>    <br> <font style="font-family: Verdana;" size="2"></font>    <br> <font style="font-family: Verdana;" size="2">Este trabajo presenta la comparaci&oacute;n de los resultados de las t&eacute;cnicas heur&iacute;sticas de ABC colonias de abejas artificiales (Artificial Bee Colony) y PSO enjambres de part&iacute;culas (Particle Swarm Optimization) que son utilizadas para la estimaci&oacute;n de par&aacute;metros de modelos de regresi&oacute;n no lineal. Los algoritmos fueron probados sobre 27 bases de datos de la colecci&oacute;n NIST(2001), de las cuales 8 son consideradas con un alto grado de dificultad, 11 con un grado de dificultad medio y 8 con un grado de dificultad bajo. Se presentan los resultados experimentales.</font>    <br> <font style="font-family: Verdana;" size="2"></font>    <br> <font style="font-family: Verdana;" size="2"><span  style="font-weight: bold;">Palabras clave</span>: colonias de abejas artificiales, enjambres de part&iacute;culas, regresi&oacute;n no lineal.</font>    <br> <font style="font-family: Verdana;" size="2"></font>    <br> <font style="font-family: Verdana; font-weight: bold;" size="3">Abstract</font>    <br> <font style="font-family: Verdana;" size="2"></font>    <br> <font style="font-family: Verdana;" size="2">This paper shows the comparison results of ABC (Artificial Bee Colony) and PSO (Particle Swarm Optimization) heuristic techniques that were used to estimate parameters for nonlinear regression models. The algorithms were tested on 27 data bases from the NIST collection (2001), 8 of these are considered to have high difficulty, 11 medium difficulty and 8 low difficulty. Experimental results are presented.</font>    <br> <font style="font-family: Verdana;" size="2"></font>    ]]></body>
<body><![CDATA[<br> <font style="font-family: Verdana;" size="2"><span  style="font-weight: bold;">Keywords</span>: artificial bee colony, particle swarm optimization, nonlinear regression.</font>    <br> <font style="font-family: Verdana;" size="2"></font>    <br> <font style="font-family: Verdana;" size="2"><span  style="font-weight: bold;">Mathematics Subject Classification</span>: 90C59, 62J02.</font>    <br> <hr style="width: 100%; height: 2px;"><font  style="font-family: Verdana;" size="2"></font><font  style="font-family: Verdana; font-weight: bold;" size="3">    <br> </font><small><font style="font-family: Verdana;" size="3"><small>Ver contenido disponible en pdf</small></font></small><font  style="font-family: Verdana; font-weight: bold;" size="3">    <br>     <br> </font> <hr style="width: 100%; height: 2px;"><font  style="font-family: Verdana; font-weight: bold;" size="3">Referencias</font>    <br> <font style="font-family: Verdana;" size="2"></font>    <!-- ref --><br> <font style="font-family: Verdana;" size="2">[1] Abbass, H.A. (2001) &#8220;Marriage in honey-bee optimization (MBO): a haplometrosis polygynous swarming approach&#8221;, en: P<span  style="font-style: italic;">roceedings The Congress on Evolutionary Computation (CEC2001)</span>, Seoul, Korea: 207&#8211;214.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1950218&pid=S1409-2433201400010000700001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font>    ]]></body>
<body><![CDATA[<br> <font style="font-family: Verdana;" size="2"></font>    <!-- ref --><br> <font style="font-family: Verdana;" size="2">[2] Afshar, A.; Bozog Haddad, O; Marino, M.A.; Adams, B.J. (2007) &#8220;Honey-bee mating optimization (HBMO) algorithm for optimal reservoir operation&#8221;, <span style="font-style: italic;">Journal of the Franklin Institute</span> 344: 452&#8211;462.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1950221&pid=S1409-2433201400010000700002&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font>    <br> <font style="font-family: Verdana;" size="2"></font>    <!-- ref --><br> <font style="font-family: Verdana;" size="2">3 de los Cobos, S.; Gutierrez, M.A.; Rinc&oacute;n, E.; Lara, P.; Aguilar, M. (2012) &#8220;Estimaci&oacute;n de par&aacute;metros de regresi&oacute;n no lineal mediante colonia de abejas artificiales&#8221; <span style="font-style: italic;">Revista de Matem&aacute;tica: Teor&iacute;a y Aplicaciones</span> 20(1): 49&#8211;60.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1950224&pid=S1409-2433201400010000700003&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font>    <br> <font style="font-family: Verdana;" size="2"></font>    <!-- ref --><br> <font style="font-family: Verdana;" size="2">[4] Draper, N.R.; Smith, H. (1998) <span style="font-style: italic;">Applied Regression Analysis.</span> Wiley, New York.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1950227&pid=S1409-2433201400010000700004&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font>    <br> <font style="font-family: Verdana;" size="2"></font>    ]]></body>
<body><![CDATA[<!-- ref --><br> <font style="font-family: Verdana;" size="2">[5] Karaboga D.; Akay, B. (2007) &#8220;Artificial bee colony (ABC) algorithm on training artificial neural networks&#8221;, en: <span  style="font-style: italic;">Proceedings of 15th IEEE Signal Processing and Communications Applications</span>: 1&#8211;4.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1950230&pid=S1409-2433201400010000700005&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font>    <br> <font style="font-family: Verdana;" size="2"></font>    <!-- ref --><br> <font style="font-family: Verdana;" size="2">[6] Kennedy, J.; Eberhart, R.C. (2000), <span style="font-style: italic;">Intelligent Swarm Systems.</span> Academic Press, New York, USA.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1950233&pid=S1409-2433201400010000700006&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font>    <br> <font style="font-family: Verdana;" size="2"></font>    <!-- ref --><br> <font style="font-family: Verdana;" size="2">[7] Kennedy, J.; Eberhart, R.C.; Shi Y. (2001) <span style="font-style: italic;">Swarm Intelligence.</span> Morgan Kaufmann, San Francisco, USA.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1950236&pid=S1409-2433201400010000700007&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font>    <br> <font style="font-family: Verdana;" size="2"></font>    <!-- ref --><br> <font style="font-family: Verdana;" size="2">[8] McCullough, B.D.; Wilson, B. (2005) &#8220;On the accuracy of stastistical procedures in Microsoft Excel 2003&#8221;, <span  style="font-style: italic;">Comput. Stast. and Data Anal.</span> 49: 1244&#8211;1252.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1950239&pid=S1409-2433201400010000700008&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font>    <br> <font style="font-family: Verdana;" size="2"></font>    <!-- ref --><br> <font style="font-family: Verdana;" size="2">[9] NIST (2001), en: http://www.itl.nist.gov/div898/strd/general/dataarchive.html, consultada 20-Feb-2012, 11:35 a.m.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1950242&pid=S1409-2433201400010000700009&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font>    <br> <font style="font-family: Verdana;" size="2"></font>    <!-- ref --><br> <font style="font-family: Verdana;" size="2">[10] Ozturk, C.; Karaboga, D. (2008) &#8220;Classifications by neural networks and clustering with artificial bee colony (ABC) algorithm&#8221;, en: <span style="font-style: italic;">Proceedings of the 6th International Symposium on Intelligent and Manufacturing Systems, Features, Strategies and Innovation</span>, Sakarya, Turkey.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1950245&pid=S1409-2433201400010000700010&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font>    <br> <font style="font-family: Verdana;" size="2"></font>    <!-- ref --><br> <font style="font-family: Verdana;" size="2">[11] Pham, D.T.; Koc, E.; Lee, J.Y.; Phrueksanant, J. (2007) &#8220;Using the bees algorithm to schedule jobs for a machine&#8221;, en: <span  style="font-style: italic;">Proceedings Eighth International Conference on Laser Metrology, CMM and Machine Tool Performance</span>, LAMDAMAP, Euspen, UK, Cardiff: 430&#8211;439.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1950248&pid=S1409-2433201400010000700011&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font>    ]]></body>
<body><![CDATA[<br> <font style="font-family: Verdana;" size="2"></font>    <!-- ref --><br> <font style="font-family: Verdana;" size="2">[12] Tvrd&iacute;k, J. (2009) &#8220;Adaptation in differential evolution: a numerical comparison&#8221;, <span style="font-style: italic;">Applied Soft Computing</span> 9: 1149&#8211;1155.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1950251&pid=S1409-2433201400010000700012&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font>    <br>     <br> <small><span style="font-family: Verdana;"><a name="Correspondencia1"></a><a  href="#Correspondencia2">*</a>Correspondecia a:</span></small>    <br> <font style="font-family: Verdana;" size="2"></font><font  style="font-family: Verdana;" size="2"> Sergio de-los-Cobos-Silva: </font><font style="font-family: Verdana;"  size="2">Universidad Aut&oacute;noma Metropolitana-Iztapalapa, Departamento de Ingenier&iacute;a El&eacute;ctrica, Av. San Rafael Atlixco 186, Col. Vicentina, Del. Iztapalapa, M&eacute;xico D.F., C.P. 09340, M&eacute;xico. E-Mail: cobos@xanum.uam.mx</font>    <br> <font style="font-family: Verdana;" size="2">Miguel A. Gut&iacute;errez-Andrade:</font><font style="font-family: Verdana;"  size="2">Universidad Aut&oacute;noma Metropolitana-Iztapalapa, Departamento de Ingenier&iacute;a El&eacute;ctrica, Av. San Rafael Atlixco 186, Col. Vicentina, Del. Iztapalapa, M&eacute;xico D.F., C.P. 09340, M&eacute;xico. E-Mail: </font><font  style="font-family: Verdana;" size="2">gamma@xanum.uam.mx</font>    <br> <font style="font-family: Verdana;" size="2">Eric A. Rinc&oacute;n-Garc&iacute;a:</font><font style="font-family: Verdana;"  size="2">Universidad Aut&oacute;noma Metropolitana-Azcapotzalco, Departamento de Sistemas, Av. San Pablo 180, Colonia Reynosa Tamaulipas, M&eacute;xico D.F., C.P. 02200, M&eacute;xico. E-Mail: rigaeral@correo.azc.uam.mx</font><font  style="font-family: Verdana;" size="2"> </font>    <br> <font style="font-family: Verdana;" size="2">Pedro Lara-Vel&aacute;zquez: </font><font style="font-family: Verdana;"  size="2">Universidad Aut&oacute;noma Metropolitana-Azcapotzalco, Departamento de Sistemas, Av. San Pablo 180, Colonia Reynosa Tamaulipas, M&eacute;xico D.F., C.P. 02200, M&eacute;xico. E-Mail: </font><font  style="font-family: Verdana;" size="2">plara@xanum.uam.mx</font>    <br> <font style="font-family: Verdana;" size="2">Manuel Aguilar-Cornejo: </font><font  style="font-family: Verdana;" size="2">Universidad Aut&oacute;noma Metropolitana-Iztapalapa, Departamento de Ingenier&iacute;a El&eacute;ctrica, Av. San Rafael Atlixco 186, Col. Vicentina, Del. Iztapalapa, M&eacute;xico D.F., C.P. 09340, M&eacute;xico. E-Mail:</font><font  style="font-family: Verdana;" size="2">mac@xanum.uam.mx</font>    ]]></body>
<body><![CDATA[<br> <font style="font-family: Verdana;" size="2"><a name="1"></a><a  href="#6">*</a>Universidad Aut&oacute;noma Metropolitana-Iztapalapa, Departamento de Ingenier&iacute;a El&eacute;ctrica, Av. San Rafael Atlixco 186, Col. Vicentina, Del. Iztapalapa, M&eacute;xico D.F., C.P. 09340, M&eacute;xico. E-Mail: cobos@xanum.uam.mx</font>    <br> <font style="font-family: Verdana;" size="2"><a name="2"></a><a  href="#7">&#8224;</a>Misma direcci&oacute;n que/Same address as: S. de-los-Cobos-Silva. E-Mail: gamma@xanum.uam.mx</font>    <br> <font style="font-family: Verdana;" size="2"><a name="3"></a><a  href="#9">&#8225;</a>Universidad Aut&oacute;noma Metropolitana-Azcapotzalco, Departamento de Sistemas, Av. San Pablo 180, Colonia Reynosa Tamaulipas, M&eacute;xico D.F., C.P. 02200, M&eacute;xico. E-Mail: rigaeral@correo.azc.uam.mx</font>    <br> <font style="font-family: Verdana;" size="2"><a name="4"></a><a  href="#10">&sect;</a>Misma direcci&oacute;n que/Same address as: E. Rinc&oacute;n-Garc&iacute;a. E-Mail: plara@xanum.uam.mx</font>    <br> <font style="font-family: Verdana;" size="2"><a name="5"></a><a  href="#11">&para;</a>Misma direcci&oacute;n que/Same address as: S. de-los-Cobos-Silva. E-Mail: mac@xanum.uam.mx</font>    <br> <hr style="width: 100%; height: 2px;">     <div style="text-align: center;"><font style="font-family: Verdana;"  size="2"></font><font style="font-family: Verdana; font-weight: bold;"  size="2">Received: 20/Sep/2012; Revised: 20/May/2013; Accepted: 10/Jul/2013</font><font style="font-family: Verdana;" size="2"></font></div> </div>      ]]></body><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Abbass]]></surname>
<given-names><![CDATA[H.A.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Marriage in honey-bee optimization (MBO): a haplometrosis polygynous swarming approach]]></article-title>
<source><![CDATA[Proceedings The Congress on Evolutionary Computation (CEC2001)]]></source>
<year>2001</year>
<publisher-loc><![CDATA[^eSeoul Seoul]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
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