{"id":4428,"date":"2025-06-30T13:56:13","date_gmt":"2025-06-30T11:56:13","guid":{"rendered":"https:\/\/imm.webs.upv.es\/?p=4428"},"modified":"2025-07-24T08:33:27","modified_gmt":"2025-07-24T06:33:27","slug":"advances-in-nature-inspired-hybrid-algorithms","status":"publish","type":"post","link":"https:\/\/imm.webs.upv.es\/es\/advances-in-nature-inspired-hybrid-algorithms\/","title":{"rendered":"Avances en algoritmos h\u00edbridos inspirados en la naturaleza"},"content":{"rendered":"\n

El IMM ha acogido la conferencia de la profesora Fiza Zafar, experta en m\u00e9todos num\u00e9ricos y optimizaci\u00f3n, y colaboradora del grupo de investigaci\u00f3n DAMRES del IMM. La jornada ha acogido a numerosos investigadores y estudiantes.<\/p>\n\n\n

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Tras la presentaci\u00f3n por parte del director del IMM, Juan Carlos Cort\u00e9s, la profesora Zafar ha abordado el potencial de los algoritmos inspirados en la naturaleza (Nature-Inspired Algorithms, NIAs), destacando su capacidad para ofrecer soluciones innovadoras a problemas complejos mediante la imitaci\u00f3n de procesos naturales como la evoluci\u00f3n, el comportamiento de enjambres o la cooperaci\u00f3n entre individuos. Entre estos algoritmos se encuentran t\u00e9cnicas conocidas como los algoritmos gen\u00e9ticos (GAs), la optimizaci\u00f3n por enjambre de part\u00edculas (PSO), la optimizaci\u00f3n por colonia de hormigas (ACO) y la optimizaci\u00f3n por colonia de abejas artificiales (ABC).<\/p>\n\n\n\n

Aunque estos algoritmos muestran una gran capacidad de exploraci\u00f3n de espacios de soluci\u00f3n, tambi\u00e9n presentan desaf\u00edos en cuanto a la precisi\u00f3n y la velocidad de convergencia, especialmente cuando se aplican a sistemas no lineales. Para abordar estas limitaciones, la profesora Zafar present\u00f3 una innovadora l\u00ednea de investigaci\u00f3n basada en algoritmos h\u00edbridos, que combinan la naturaleza estoc\u00e1stica y exploratoria de los NIAs con m\u00e9todos deterministas de alta precisi\u00f3n como los m\u00e9todos de Jarratt y Steffensen.<\/p>\n\n\n\n

La presentaci\u00f3n ha generado un gran inter\u00e9s entre los asistentes, que han valorado especialmente la proyecci\u00f3n pr\u00e1ctica de estas t\u00e9cnicas y su capacidad para mejorar el rendimiento de algoritmos cl\u00e1sicos en \u00e1reas de aplicaci\u00f3n cada vez m\u00e1s exigentes.<\/p>\n\n\n\n

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La visita de Fiza Zafar cuenta con el apoyo de IMU-CDC y la Fundaci\u00f3n Simons.<\/p>\n\n\n\n

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El IMM ha acogido la conferencia de la profesora Fiza Zafar, experta en m\u00e9todos num\u00e9ricos y optimizaci\u00f3n, y colaboradora del grupo de investigaci\u00f3n DAMRES del IMM. La jornada ha acogido a numerosos investigadores y estudiantes. Tras la presentaci\u00f3n por parte del director del IMM, Juan Carlos Cort\u00e9s, la profesora Zafar… Show more<\/a><\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0,"footnotes":""},"categories":[8],"tags":[],"class_list":["post-4428","post","type-post","status-publish","format-standard","hentry","category-talks-seminars"],"translation":{"provider":"WPGlobus","version":"3.0.2","language":"es","enabled_languages":["en","ca","es"],"languages":{"en":{"title":true,"content":true,"excerpt":false},"ca":{"title":true,"content":true,"excerpt":false},"es":{"title":true,"content":true,"excerpt":false}}},"yoast_head":"\nAvances en algoritmos h\u00edbridos inspirados en la naturaleza - I. 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