<?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>S1405-55462025000200829</article-id>
<article-id pub-id-type="doi">10.13053/cys-29-2-5195</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Meta-Heuristic Hybrid Wrapper Method based on Feature Selection for Classification of Biological Samples]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Behera]]></surname>
<given-names><![CDATA[Sabita Rani]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pati]]></surname>
<given-names><![CDATA[Bibudhendu]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Parida]]></surname>
<given-names><![CDATA[Sasmita]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Rama Devi Women&#8217;s University Department of Computer Science ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>India</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,SoA Univesity Institute of Technical Education and Research ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>India</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2025</year>
</pub-date>
<volume>29</volume>
<numero>2</numero>
<fpage>829</fpage>
<lpage>846</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462025000200829&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462025000200829&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462025000200829&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Cancer is the vital cause of death across the Globe. Microarray technology is regarded as a promising diagnostic and classification tool for cancer. It explores genetic mutations occurring within a cancer cell. Dimensionality reduction techniques (DRT) are vital in microarray based data analysis. The microarray data contains a huge number of attributes or dimensions, which can adversely affect performance parameters of the model. Hence it is necessary to identify most relevant attributes to be retained and discard rest attributes. Statistical and machine learning (ML) techniques are employed to identify the majority of important genes or attributes to be retained. Two wrapper hybrid wrapper models are proposed for the feature selection purpose. The first hybrid method combines the Grey Wolf Optimization (GWO) with the Jaya optimization method, whereas second hybrid method combines GWO and Particle swarm optimization (PSO) algorithm. These two hybrid models are applied individually on four benchmark microarray datasets containing data on cancer of the central nervous system, Breast cancer, ovarian cancer and leukaemia cancer to get reduced datasets. Classification algorithms Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), Naive Bayes (NV), and Linear Discriminant Analysis (LDA) are classification models used individually to classify malignant and benign genes from each category of reduced data sets with stratified 10-fold cross-validation. Classification accuracy of all classifiers on individual dataset for both wrapper hybrid models is compared with each other.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Feature selection (FS)]]></kwd>
<kwd lng="en"><![CDATA[PSO]]></kwd>
<kwd lng="en"><![CDATA[GA]]></kwd>
<kwd lng="en"><![CDATA[Jaya]]></kwd>
<kwd lng="en"><![CDATA[GWO]]></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[Hira]]></surname>
<given-names><![CDATA[Z. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Gillies]]></surname>
<given-names><![CDATA[D.F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A review of feature selection and feature extraction methods applied on microarray data]]></article-title>
<source><![CDATA[Adv. Bioinf.]]></source>
<year>2015</year>
<volume>2015</volume>
</nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ang]]></surname>
<given-names><![CDATA[J.C.]]></given-names>
</name>
<name>
<surname><![CDATA[Mirzal]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Haron]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Hamed]]></surname>
<given-names><![CDATA[H.N.A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Supervised, unsupervised, and semi-supervised feature selection: A review on gene selection]]></article-title>
<source><![CDATA[IEEE/ACM Trans Comput Biol Bioinform]]></source>
<year>2016</year>
<volume>13</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>971-89</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Veerabhadrappa-Rangarajan]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Bi-level dimensionality reduction methods using feature selection and feature extraction]]></article-title>
<source><![CDATA[International Journal of Computer Applications]]></source>
<year>2010</year>
<volume>4</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>33-8</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bennet]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ganaprakasam]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Kumar]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A hybrid approach for gene selection and classification using support vector machine]]></article-title>
<source><![CDATA[International Arab Journal of Information Technology]]></source>
<year>2015</year>
<volume>12</volume>
<page-range>695-700</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Motoda]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<source><![CDATA[Computational methods of feature selection]]></source>
<year>2007</year>
<publisher-loc><![CDATA[Boca Raton ]]></publisher-loc>
<publisher-name><![CDATA[CRC Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mitra]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Murthy]]></surname>
<given-names><![CDATA[CA.]]></given-names>
</name>
<name>
<surname><![CDATA[Pal]]></surname>
<given-names><![CDATA[SK.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Unsupervised feature selection using feature similarity]]></article-title>
<source><![CDATA[IEEE Trans Pattern Anal Mach Intell]]></source>
<year>2002</year>
<volume>24</volume>
<page-range>301-12</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shang]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A novel feature selection algorithm for text categorization]]></article-title>
<source><![CDATA[Expert Syst Appl]]></source>
<year>2007</year>
<volume>33</volume>
<page-range>1-5</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Honavar]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Feature subset selection using a genetic algorithm]]></article-title>
<source><![CDATA[IEEE Intell Syst Appl]]></source>
<year>1998</year>
<volume>13</volume>
<page-range>44-9</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Moradi]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Gholampour]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A hybrid particle swarm optimization for feature subset selection by integrating a novel local search strategy]]></article-title>
<source><![CDATA[Appl Soft Comput J.]]></source>
<year>2016</year>
<volume>43</volume>
<page-range>117-30</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Forsati]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Moayedikia]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Jensen]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Enriched ant colony optimization and its application in feature selection]]></article-title>
<source><![CDATA[Neurocomputing]]></source>
<year>2014</year>
<volume>142</volume>
<page-range>354-71</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gandomi]]></surname>
<given-names><![CDATA[A.H.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[X-S.]]></given-names>
</name>
<name>
<surname><![CDATA[Alavi]]></surname>
<given-names><![CDATA[A.H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems]]></article-title>
<source><![CDATA[Eng Comput]]></source>
<year>2013</year>
<volume>29</volume>
<page-range>17-35</page-range></nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Karaboga]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Akay]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A comparative study of artificial bee colony algorithm]]></article-title>
<source><![CDATA[Appl Math Comput]]></source>
<year>2009</year>
<volume>214</volume>
<page-range>108-32</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Forsati]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Moayedikia]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Keikha]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Shamsfard]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A novel approach for feature selection based on the bee colony optimization]]></article-title>
<source><![CDATA[Int J Comput Appl.]]></source>
<year>2012</year>
<volume>43</volume>
<page-range>30-4</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shukla]]></surname>
<given-names><![CDATA[A.K.]]></given-names>
</name>
<name>
<surname><![CDATA[Singh]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Vardhan]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A new hybrid wrapper TLBO and SA with SVM approach for gene expression datasets]]></article-title>
<source><![CDATA[Inf Sci]]></source>
<year>2019</year>
<volume>503</volume>
<page-range>238-54</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hambali]]></surname>
<given-names><![CDATA[M.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Oladele]]></surname>
<given-names><![CDATA[T.O.]]></given-names>
</name>
<name>
<surname><![CDATA[Adewole]]></surname>
<given-names><![CDATA[K. S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Microarray cancer feature selection: Review, challenges and research directions]]></article-title>
<source><![CDATA[Int. J. Cogn. Comput. Eng.]]></source>
<year>2020</year>
<volume>1</volume>
<page-range>78-97</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ghosh]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Guha]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Sarkar]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Abraham]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A wrapper-filter feature selection technique based on ant colony optimization]]></article-title>
<source><![CDATA[Neural Comput. Appl.]]></source>
<year>2020</year>
<volume>32</volume>
<numero>12</numero>
<issue>12</issue>
<page-range>7839-57</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Alirezanejad]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Enayatifar]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Motameni]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Nematzadeh]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Heuristic filter feature selection methods for medical datasets]]></article-title>
<source><![CDATA[Genomics]]></source>
<year>2020</year>
<volume>112</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>1173-81</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Goudos]]></surname>
<given-names><![CDATA[S.K.]]></given-names>
</name>
<name>
<surname><![CDATA[Yioultsis]]></surname>
<given-names><![CDATA[T.V.]]></given-names>
</name>
<name>
<surname><![CDATA[Boursianis]]></surname>
<given-names><![CDATA[A.D.]]></given-names>
</name>
<name>
<surname><![CDATA[Psannis]]></surname>
<given-names><![CDATA[K.E.]]></given-names>
</name>
<name>
<surname><![CDATA[Siakavara]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Application of New hybrid jaya grey Wolf optimizer to antenna design for 5G communications systems]]></article-title>
<source><![CDATA[IEEE Access]]></source>
<year>2019</year>
<volume>7</volume>
<page-range>71061-71</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Abdo]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Mostafa]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Abdel-Hamid]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An Optimized Hybrid Approach for Feature Selection Based on Chi-Square and Particle Swarm Optimization Algorithms]]></article-title>
<source><![CDATA[Data]]></source>
<year>2024</year>
<volume>9</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>20</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dankolo]]></surname>
<given-names><![CDATA[M.N.]]></given-names>
</name>
<name>
<surname><![CDATA[Mohamed-Radzi]]></surname>
<given-names><![CDATA[N.H.]]></given-names>
</name>
<name>
<surname><![CDATA[Salehuddin]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Mustaffa]]></surname>
<given-names><![CDATA[N.H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Hybrid Flower Pollination Algorithm and Support Vector Machine for Breast Cancer Classification]]></article-title>
<source><![CDATA[J. Technol. Manag. Bus.]]></source>
<year>2018</year>
<volume>5</volume>
<page-range>1</page-range></nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bhattacharyya]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Chatterjee]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Singh]]></surname>
<given-names><![CDATA[P. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Yoon]]></surname>
<given-names><![CDATA[J.H.]]></given-names>
</name>
<name>
<surname><![CDATA[Geem]]></surname>
<given-names><![CDATA[Z.W.]]></given-names>
</name>
<name>
<surname><![CDATA[Sarkar]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Mayfly in Harmony: A new hybrid meta-heuristic feature selection algorithm]]></article-title>
<source><![CDATA[IEEE Access]]></source>
<year>2020</year>
<volume>8</volume>
<page-range>195929-45</page-range></nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Meenachi]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Ramakrishnan]]></surname>
<given-names><![CDATA[en S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Metaheuristic Search Based Feature Selection Methods for Classification of Cancer]]></article-title>
<source><![CDATA[Pattern Recognit.]]></source>
<year>2021</year>
<volume>119</volume>
</nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hameed]]></surname>
<given-names><![CDATA[S.S.]]></given-names>
</name>
<name>
<surname><![CDATA[Hassan]]></surname>
<given-names><![CDATA[W.H.]]></given-names>
</name>
<name>
<surname><![CDATA[Latiff]]></surname>
<given-names><![CDATA[L.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Muhammadsharif]]></surname>
<given-names><![CDATA[en F.F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A comparative study of nature-inspired metaheuristic algorithms using a three-phase hybrid approach for gene selection and classification in high-dimensional cancer datasets]]></article-title>
<source><![CDATA[Soft Comput.]]></source>
<year>2021</year>
<volume>25</volume>
<numero>13</numero>
<issue>13</issue>
<page-range>8683-701</page-range></nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yu]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Efficient feature selection via analysis of relevance and redundancy]]></article-title>
<source><![CDATA[J Mach Learn Res]]></source>
<year>2004</year>
<volume>5</volume>
<page-range>1205-24</page-range></nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Alomari Ahmad]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators]]></article-title>
<source><![CDATA[Knowledge-Based Systems]]></source>
<year>2021</year>
<volume>223</volume>
</nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chaudhuri]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Sahu]]></surname>
<given-names><![CDATA[T.P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A hybrid feature selection method based on Binary Jaya algorithm for microarray data classification]]></article-title>
<source><![CDATA[Computers &amp; Electrical Engineering]]></source>
<year>2021</year>
<volume>90</volume>
</nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Huerta]]></surname>
<given-names><![CDATA[E.B.]]></given-names>
</name>
<name>
<surname><![CDATA[Duval]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Hao]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A hybrid LDA and genetic algorithm for gene selection and classification of microarray data]]></article-title>
<source><![CDATA[Neurocomputing]]></source>
<year>2010</year>
<volume>73</volume>
<numero>13&#8211;15</numero>
<issue>13&#8211;15</issue>
<page-range>2375-383</page-range></nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shukla]]></surname>
<given-names><![CDATA[A.K.]]></given-names>
</name>
<name>
<surname><![CDATA[Singh]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Vardhan]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Gene selection for cancer types classification using novel hybrid metaheuristics approach]]></article-title>
<source><![CDATA[Swarm and Evolutionary Computation]]></source>
<year>2020</year>
<volume>54</volume>
</nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aziz]]></surname>
</name>
<name>
<surname><![CDATA[Musheer]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Nature-inspired metaheuristics model for gene selection and classification of biomedical microarray data]]></article-title>
<source><![CDATA[Medical &amp; Biological Engineering &amp; Computing]]></source>
<year>2022</year>
<volume>60</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>1627-46</page-range></nlm-citation>
</ref>
<ref id="B30">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Medjahed]]></surname>
<given-names><![CDATA[S.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Boukhatem]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[On the Performance Assessment and Comparison of Features Selection Approaches]]></article-title>
<source><![CDATA[Computación y Sistemas]]></source>
<year>2024</year>
<volume>28</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>607-22</page-range></nlm-citation>
</ref>
<ref id="B31">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Medjahed]]></surname>
<given-names><![CDATA[S.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Boukhatem]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Applying Support Vector Machines with Different Kernel to Breast Cancer Diagnosis]]></article-title>
<source><![CDATA[Computación y Sistemas]]></source>
<year>2024</year>
<volume>28</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>659-67</page-range></nlm-citation>
</ref>
<ref id="B32">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pulido]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Bird Swarm Algorithm and Particle Swarm Optimization in Ensemble Recurrent Neural Networks Optimization for Time Series Prediction]]></article-title>
<source><![CDATA[Computación y Sistemas]]></source>
<year>2024</year>
<volume>28</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>847-59</page-range></nlm-citation>
</ref>
<ref id="B33">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nimbiwal]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Vashishtha]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Novel Hybrid Grey Wolf Optimization Algorithm Using Two-Phase Crossover Approach for Feature Selection and Classification]]></article-title>
<source><![CDATA[Computación y Sistemas]]></source>
<year>2021</year>
<volume>25</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>793-801</page-range></nlm-citation>
</ref>
<ref id="B34">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Safa]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Mohamed-Hamou]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Toumouh]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Optimizing the Performance of the IDS through Feature-Relevant Selection Using PSO and Random Forest Techniques]]></article-title>
<source><![CDATA[Computación y Sistemas]]></source>
<year>2024</year>
<volume>28</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>473-88</page-range></nlm-citation>
</ref>
<ref id="B35">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lazar]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Taminau]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Meganck]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Steenhoff]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Coletta]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Molter]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[de Schaetzen]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Duque]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Bersini]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Nowe]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A survey on filter techniques for feature selection in gene expression microarray analysis]]></article-title>
<source><![CDATA[IEEE/ACM Trans. Comput. Biol. Bioinf.]]></source>
<year>2012</year>
<volume>9</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>1106-19</page-range></nlm-citation>
</ref>
<ref id="B36">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jadhav]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[He]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Jenkins]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Information Gain Directed Genetic Algorithm Wrapper Feature selection for Credit Rating]]></article-title>
<source><![CDATA[Applied Soft Computing]]></source>
<year>2018</year>
<volume>69</volume>
</nlm-citation>
</ref>
<ref id="B37">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pirgazi]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Alimoradi]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Abharian]]></surname>
<given-names><![CDATA[T.E.]]></given-names>
</name>
<name>
<surname><![CDATA[Olyaee]]></surname>
<given-names><![CDATA[M.H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An efficient hybrid filter-wrapper Metaheuristic-based gene selection method for high dimensional datasets]]></article-title>
<source><![CDATA[Sci. Rep.]]></source>
<year>2019</year>
<volume>9</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B38">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Katoch]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Chauhan]]></surname>
<given-names><![CDATA[S.S.]]></given-names>
</name>
<name>
<surname><![CDATA[Kumar]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A review on genetic algorithm: Past, present, and future]]></article-title>
<source><![CDATA[Multimedia Tools Appl.]]></source>
<year>2020</year>
<volume>80</volume>
<page-range>8091-126</page-range></nlm-citation>
</ref>
<ref id="B39">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Almugren]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Alshamlan]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A survey on hybrid feature selection methods in microarray gene expression data for cancer classification]]></article-title>
<source><![CDATA[IEEE Access]]></source>
<year>2019</year>
<volume>7</volume>
<page-range>78533-48</page-range></nlm-citation>
</ref>
<ref id="B40">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sahu]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Dash]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Optimal feature selection from high-dimensional microarray dataset employing hybrid IG-Jaya model]]></article-title>
<source><![CDATA[Current Materials Science: Formerly: Recent Patents on Materials Science]]></source>
<year>2024</year>
<volume>17</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>21-43</page-range></nlm-citation>
</ref>
<ref id="B41">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Ong]]></surname>
<given-names><![CDATA[Y.S.]]></given-names>
</name>
<name>
<surname><![CDATA[Dash]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Markov blanket-embedded genetic algorithm for gene selection]]></article-title>
<source><![CDATA[Pattern Recognition]]></source>
<year>2007</year>
<volume>40</volume>
<numero>11</numero>
<issue>11</issue>
<page-range>3236-48</page-range></nlm-citation>
</ref>
<ref id="B42">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Panda]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Panigrahi]]></surname>
<given-names><![CDATA[C.R.]]></given-names>
</name>
<name>
<surname><![CDATA[Pati]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Patient reviews analysis using machine learning]]></article-title>
<source><![CDATA[International Journal of Computational Science and Engineering]]></source>
<year>2023</year>
<volume>26</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>111-7</page-range></nlm-citation>
</ref>
<ref id="B43">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Behera]]></surname>
<given-names><![CDATA[S.R.]]></given-names>
</name>
<name>
<surname><![CDATA[Pati]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Parida]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[RelFFP: An Ensemble Model based on ReliefF and FPA for Efficient Cancer Classification]]></source>
<year>2023</year>
<conf-name><![CDATA[ International Conference in Advances in Power, Signal, and Information Technology (APSIT)]]></conf-name>
<conf-loc> </conf-loc>
<page-range>324-9</page-range></nlm-citation>
</ref>
<ref id="B44">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Behera]]></surname>
<given-names><![CDATA[S.R.]]></given-names>
</name>
<name>
<surname><![CDATA[Pati]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Parida]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[PBb- LMFO: a levy flight integrated MFO inspired ensemble model for cancer diagnosis]]></article-title>
<source><![CDATA[International Journal of Information Technology]]></source>
<year>2024</year>
<page-range>1-10</page-range></nlm-citation>
</ref>
<ref id="B45">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bishi]]></surname>
<given-names><![CDATA[D.K.]]></given-names>
</name>
<name>
<surname><![CDATA[Padhi]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Panigrahi]]></surname>
<given-names><![CDATA[C.R.]]></given-names>
</name>
<name>
<surname><![CDATA[Pati]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Rath]]></surname>
<given-names><![CDATA[C.C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep learning techniques for hepatocellular carcinoma diagnosis]]></article-title>
<source><![CDATA[Computational Intelligence in Cancer Diagnosis]]></source>
<year>2023</year>
<page-range>317-36</page-range><publisher-name><![CDATA[Academic Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B46">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Behera]]></surname>
<given-names><![CDATA[S.R.]]></given-names>
</name>
<name>
<surname><![CDATA[Pati]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Parida]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Panigrahi]]></surname>
<given-names><![CDATA[C.R.]]></given-names>
</name>
</person-group>
<source><![CDATA[CFS-FA Enabled Ensemble Model for Cancer Diagnosis]]></source>
<year>2022</year>
<conf-name><![CDATA[ International Conference on Machine Learning, Computer Systems and Security (MLCSS)]]></conf-name>
<conf-loc> </conf-loc>
<page-range>159-64</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
