<?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>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462024000301291</article-id>
<article-id pub-id-type="doi">10.13053/cys-28-3-5185</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Experimental Analysis of a Cooperative Coevolutionary Algorithm with Parameter Tuning for Multi-objective Problem Optimization with Uncertainty]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rosas]]></surname>
<given-names><![CDATA[Lorena]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gómez Santillán]]></surname>
<given-names><![CDATA[Claudia Guadalupe]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rangel-Valdez]]></surname>
<given-names><![CDATA[Nelson]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Morales-Rodríguez]]></surname>
<given-names><![CDATA[María Lucila]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Huacuja]]></surname>
<given-names><![CDATA[Héctor Fraire]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vargas]]></surname>
<given-names><![CDATA[Manuel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Technological Institute of Madero  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Technological Institute of Madero  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2024</year>
</pub-date>
<volume>28</volume>
<numero>3</numero>
<fpage>1291</fpage>
<lpage>1319</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462024000301291&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462024000301291&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462024000301291&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Currently, organizations face significant challenges demanding effective and efficient solutions. The problem optimization and decision-making coupled with Decision Maker Preferences (DMPs), are crucial for achieving success and maintaining a competitive edge. In many cases, business problems involve the need to optimize multiple conflicting objectives, and DMPs may not be entirely precise. Coevolutionary algorithms have become increasingly popular as effective tools for solving problems involving multiple objectives. These techniques enable the simultaneous evolution of multiple solutions through the interaction and joint improve of different populations. Coevolutionary algorithms promote cooperative solution improvement, fostering diversity and facilitating the discovery of optimal solutions to complex problems. Parameter tuning is critical in coevolutionary algorithms as it determines how potential solutions are explored and enhances their ability to avoid local optima, directing the search toward global solutions. In this article, an analysis is conducted to identify the most viable configurations using parameter tuning in a cooperative coevolutionary algorithm to solve multi-objective problems with uncertainty. Experimental results demonstrate that no configuration dominates by absolute distance, but options are identified that can generate high-quality solutions.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Parameter tuning]]></kwd>
<kwd lng="en"><![CDATA[cooperative coevolution algorithm]]></kwd>
<kwd lng="en"><![CDATA[multi-objective problem optimization]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kozio&#322;-Nadolna]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Beyer]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Determinants of the decision-making process in organizations]]></article-title>
<source><![CDATA[Procedia Computer Science]]></source>
<year>2021</year>
<volume>192</volume>
<page-range>2375-84</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[G. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Two-population coevolutionary algorithm with dynamic learning strategy for many-objective optimization]]></article-title>
<source><![CDATA[Mathematics]]></source>
<year>2021</year>
<volume>9</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>420</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhong]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Munetomo]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Cooperative coevolutionary hybrid NSGA-II with linkage measurement minimization for large-scale multi-objective optimization]]></source>
<year>2022</year>
</nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Navas]]></surname>
<given-names><![CDATA[M. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Urbaneja]]></surname>
<given-names><![CDATA[A. J. N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Metaheurísticas multiobjetivo adaptativas]]></article-title>
<source><![CDATA[Computación y Sistemas]]></source>
<year>2013</year>
<volume>17</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>53-62</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Potter]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Jong]]></surname>
<given-names><![CDATA[K. A. D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Cooperative coevolution: An architecture for evolving coadapted subcomponents]]></article-title>
<source><![CDATA[Evolutionary computation]]></source>
<year>2000</year>
<volume>8</volume>
<page-range>1-29</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ríos-Insua]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Mateos-Caballero]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiménez-Martín]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Optimización multiobjetivo basada en metaheurísticas]]></article-title>
<source><![CDATA[Anales de la Real Academia de Doctores de España]]></source>
<year>2004</year>
<volume>8</volume>
<page-range>159-77</page-range><publisher-name><![CDATA[Real Academia de Doctores]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rivera]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Florencia]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Guerrero]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Porras]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Sánchez-Solís]]></surname>
<given-names><![CDATA[J. P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Online multi-criteria portfolio analysis through compromise programming models built on the underlying principles of fuzzy outranking]]></article-title>
<source><![CDATA[Information Sciences]]></source>
<year>2021</year>
<volume>580</volume>
<page-range>734-55</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rivera]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Porras]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Sanchez-Solis]]></surname>
<given-names><![CDATA[J. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Florencia]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[García]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Outranking-based multi-objective PSO for scheduling unrelated parallel machines with a freight industry-oriented application]]></article-title>
<source><![CDATA[Engineering Applications of Artificial Intelligence]]></source>
<year>2022</year>
<volume>108</volume>
<page-range>104556</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Darwin&#8217;s]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[On the origin of species]]></article-title>
<source><![CDATA[Published on]]></source>
<year>1859</year>
<volume>24</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[De-Jong]]></surname>
<given-names><![CDATA[K. A.]]></given-names>
</name>
</person-group>
<source><![CDATA[An analysis of the behavior of a class of genetic adaptive systems]]></source>
<year>1975</year>
<publisher-name><![CDATA[University of Michigan]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gong]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Guo]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A similarity-based cooperative co-evolutionary algorithm for dynamic interval multiobjective optimization problems]]></article-title>
<source><![CDATA[IEEE Transactions on Evolutionary Computation]]></source>
<year>2019</year>
<volume>24</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>142-56</page-range></nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Gong]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Fan]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Cooperative co-evolutionary algorithm for multi-objective optimization problems with changing decision variables]]></article-title>
<source><![CDATA[Information Sciences]]></source>
<year>2022</year>
<volume>607</volume>
<page-range>278-96</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fernandez]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Lopez]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Coello]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Navarro]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evolutionary multiobjective optimization using an outranking-based dominance generalization]]></article-title>
<source><![CDATA[Computers &amp; Operations Research]]></source>
<year>2010</year>
<volume>37</volume>
<page-range>390-5</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fernandez]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Rangel-Valdez]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Cruz-Reyes]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Gomez-Santillan]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Coello-Coello]]></surname>
<given-names><![CDATA[C. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Preference incorporation into MOEA/D using an outranking approach with imprecise model parameters]]></article-title>
<source><![CDATA[Social Science Research Network]]></source>
<year>2021</year>
<page-range>1-24</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mejía-de-Dios]]></surname>
<given-names><![CDATA[J. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Mezura-Montes]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Quiroz]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automated parameter tuning as a bilevel optimization problem solved by a surrogate-assisted population-based approach]]></article-title>
<source><![CDATA[Applied Intelligence]]></source>
<year>2021</year>
<volume>51</volume>
<page-range>1-23</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Romero-Ocaño]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Cosío-León]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Valenzuela-Alcaraz]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Avilés-Rodríguez]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Martínez-Vargas]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Effect of parameters tuned by a taguchi design L_9 3]]></article-title>
<source><![CDATA[Computación y Sistemas]]></source>
<year>2018</year>
<volume>22</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>657-73</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Castellanos]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Cruz-Reyes]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Fernández]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Rivera]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Gomez-Santillan]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Rangel-Valdez]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Hybridisation of swarm intelligence algorithms with multi-criteria ordinal classification: A strategy to address many-objective optimisation]]></article-title>
<source><![CDATA[Mathematics]]></source>
<year>2022</year>
<volume>10</volume>
<page-range>322</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
