<?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>2007-1132</journal-id>
<journal-title><![CDATA[Revista mexicana de ciencias forestales]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. de cienc. forestales]]></abbrev-journal-title>
<issn>2007-1132</issn>
<publisher>
<publisher-name><![CDATA[Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-11322023000300103</article-id>
<article-id pub-id-type="doi">10.29298/rmcf.v14i77.1349</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Generación de rutas mediante ACH para detección de incendios forestales en el Estado de México]]></article-title>
<article-title xml:lang="en"><![CDATA[Generation of routes through ACO for detection of forest fires in the State of Mexico]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Caballero Hernández]]></surname>
<given-names><![CDATA[Héctor]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Muñoz Jiménez]]></surname>
<given-names><![CDATA[Vianney]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ramos Corchado]]></surname>
<given-names><![CDATA[Marco A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma del Estado de México  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2023</year>
</pub-date>
<volume>14</volume>
<numero>77</numero>
<fpage>103</fpage>
<lpage>129</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-11322023000300103&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-11322023000300103&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-11322023000300103&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Los incendios forman parte del ciclo de algunos ecosistemas, los cuales pueden ser causantes de la degradación de otros. Algunas de sus causas son principalmente antropogénicas, entre ellas las fogatas mal apagadas, actividades de agricultura y liberación de basura, que generan la pérdida de hábitats y contaminación aérea a gran escala. El presente trabajo hace referencia a la aplicación de un algoritmo genético basado en una colonia de hormigas para generar, de forma teórica, las rutas de verificación para el monitoreo y la detección temprana de incendios forestales en el Estado de México mediante dispositivos aéreos no tripulados, debido a que es una de las entidades con mayor número de este tipo de incidencias en México. Los datos que se emplearon en la propuesta se extrajeron de los registros que genera la Comisión Nacional Forestal (Conafor). Durante el proceso de análisis se realizó el filtrado de los municipios en donde se han presentado afectaciones en al menos tres localidades geográficas distintas. En el proceso de evaluación, el software desarrollado desplegó las rutas en las que se obtuvieron las distancias más cortas, reordenando las localidades extraídas. Finalmente, se despliega el mapa en el cual se ubican aquellas en donde se ha presentado un incendio forestal, así como la distancia aproximada del recorrido total de la ruta. Los resultados presentaron 54 % de media de reducción en las nuevas rutas planificadas, en comparación con una ruta secuencial.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Fires are part of the cycle of some ecosystems and can cause the degradation of others. Their main causes are anthropogenic, including, among others, poorly extinguished bonfires, agricultural activities, and dumping of garbage, all of which generate habitat loss and air pollution on a large scale. This paper refers to the application of a genetic algorithm based on an ant colony to generate, at a theoretical level, verification routes for the monitoring and early detection of forest fires in the State of Mexico by means of unmanned aerial devices, as it is one of the entities with the highest number of forest fires in Mexico. The data used in the proposal were drawn from the reports generated by the National Forestry Commission (Comisión Nacional Forestal, Conafor). During the analysis process, those municipalities that have been affected in at least three different geographic locations were filtered out. In the course of the evaluation process, the software developed displayed the routes with the shortest distances, reordering the filtered localities. Finally, a map is displayed pinpointing the localities where a forest fire has occurred and showing the approximate distance of the entire route. The new routes planned with this procedure resulted in an average 54 % reduction compared to a sequential route.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Algoritmo genético]]></kwd>
<kwd lng="es"><![CDATA[colonia de hormigas]]></kwd>
<kwd lng="es"><![CDATA[incendios forestales]]></kwd>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[planificación de recorridos]]></kwd>
<kwd lng="es"><![CDATA[vehículos aéreos autónomos]]></kwd>
<kwd lng="en"><![CDATA[Genetic algorithm]]></kwd>
<kwd lng="en"><![CDATA[ant colony]]></kwd>
<kwd lng="en"><![CDATA[forest fires]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[path planning]]></kwd>
<kwd lng="en"><![CDATA[autonomous aerial vehicles]]></kwd>
</kwd-group>
</article-meta>
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