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header_6_text_shadow_vertical_length_tablet=\u00bb0px\u00bb header_6_text_shadow_blur_strength=\u00bbheader_6_text_shadow_style,%91object Object%93&#8243; header_6_text_shadow_blur_strength_tablet=\u00bb1px\u00bb box_shadow_horizontal_tablet=\u00bb0px\u00bb box_shadow_vertical_tablet=\u00bb0px\u00bb box_shadow_blur_tablet=\u00bb40px\u00bb box_shadow_spread_tablet=\u00bb0px\u00bb z_index_tablet=\u00bb500&#8243;]<\/p>\n<p><strong>El acad\u00e9mico del Departamento de Ingenier\u00eda Inform\u00e1tica y Ciencias de la Computaci\u00f3n, Pedro Pinacho, particip\u00f3 recientemente con dos ponencias en <a href=\"https:\/\/gecco-2019.sigevo.org\/index.html\/HomePage\" target=\"_blank\" rel=\"noopener noreferrer\">GECCO 2019<\/a>, Conferencia TOP en el \u00e1rea de los algoritmos gen\u00e9ticos y la computaci\u00f3n evolutiva que se realiz\u00f3 desde el 13 al 17 de julio en Praga, capital de la Rep\u00fablica Checa.<\/strong><\/p>\n<p>Con la presentaci\u00f3n de dos <em>papers<\/em>, Pedro Pinacho fue aceptado para dictar dos ponencias en el track ECOM (Evolutionary Combinatorial Optimization and Metaheuristics), relacionado a su tema de investigaci\u00f3n doctoral, las t\u00e9cnicas h\u00edbridas.<\/p>\n<p>El primer paper como autor principal se titula <strong>\u201cApplication of CMSA to the Minimum Capacitated Dominating Set Problem\u201d<\/strong> y fue presentado junto a Salim Bouamama de la University of Ferhat Abbas &#8211; S\u00e9tif 1 en Argelia, y Christian Blum de Artificial Intelligence Research Institute (IIIA-CSIC); mientras que el segundo, <strong>\u201cRoute Planning for Cooperative Air-Ground Robots with Fuel Constraints: An Approach based on CMSA\u201d<\/strong>, fue como co-autor junto a Divansh Arora and Parikshit Maini de IIIT-Delhi, en India, y nuevamente con Christian Blum.<\/p>\n<p>\u201cAmbos son problemas de optimizaci\u00f3n que se basan en una t\u00e9cnica que desarroll\u00e9 durante mi tesis doctoral llamada CMSA, Construct, Merge, Solve and Adapt (Construir, juntar, resolver y adaptar); un algoritmo h\u00edbrido, una meta heur\u00edstica que en el primer paper lo aplicamos para resolver un problema de grafos que tiene aplicaci\u00f3n en telecomunicaciones, y en el segundo para un problema de colaboraci\u00f3n entre drones y veh\u00edculos aut\u00f3nomos terrestres\u201d, cont\u00f3 el docente.<\/p>\n<p>Cabe destacar que el desarrollo de Pinacho fue utilizado en otros trabajos que se presentaron en GECCO, lo que demuestra la calidad de su investigaci\u00f3n, as\u00ed como el impacto en el \u00e1rea de las t\u00e9cnicas h\u00edbridas. \u201cLo que estamos haciendo est\u00e1 en el estado del arte, de hecho me llam\u00f3 gratamente la atenci\u00f3n que mi algoritmo fue citado en muchos art\u00edculos; fui a conferencias donde los autores estaban obligados a comparar lo que ellos hac\u00edan con lo que desarroll\u00e9, debido a su buen posicionamiento\u201d.<\/p>\n<p>En ese sentido, Pedro destaca el trabajo que se est\u00e1 realizando en el DIICC y lo que se expuso en el Workshop de Metaheur\u00edsticas H\u00edbridas en enero pasado aqu\u00ed en la FI, en definitiva una sub \u00e1rea que se abre paso r\u00e1pidamente y hacia donde se encaminan los desarrollos. \u201cEst\u00e1 muy fuerte la configuraci\u00f3n autom\u00e1tica de algoritmos de optimizaci\u00f3n y en GECCO se vio eso. 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