Video Experimental Relacionado
Updated: Sep 10, 2025
11:53
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
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Evolución y tendencias del equilibrio exploración-explotación en algoritmos de optimización bioinspirados: un
Yoslandy Lazo1, Broderick Crawford1, Felipe Cisternas-Caneo1
1Escuela de Ingeniería Informática, Pontificia Universidad Católica de Valparaíso, Avenida Brasil 2241, Valparaíso 2362807, Chile.
Biomimetics (Basel, Switzerland)
|August 27, 2025
Resumen
Este estudio bibliométrico analiza la investigación sobre el equilibrio exploración-explotación en algoritmos de optimización de inspiración biológica. Los algoritmos metaheurísticos son clave para avanzar en este equilibrio, mostrando un crecimiento e impacto significativos.
Área de la Ciencia:
- Ciencias de la computación
- Inteligencia artificial
- Investigación de las operaciones
Sus antecedentes:
- El equilibrio exploración-explotación es crítico para los algoritmos de optimización de inspiración biológica.
- El análisis bibliométrico sistemático de este equilibrio no se encuentra en la literatura científica.
Objetivo del estudio:
- Realizar un análisis bibliométrico exhaustivo de la investigación sobre el equilibrio exploración-explotación.
- Caracterizar su evolución conceptual y su tratamiento científico.
Principales métodos:
- Datos extraídos de la base de datos de la Web of Science (WoS).
- Bibliometrix (paquete R) y VOSviewer utilizados para el análisis.
- Cuantificación de la productividad, mapeo de las redes de colaboración y visualización de las tendencias.
Principales resultados:
- Crecimiento sostenido de las publicaciones en la última década.
- Consolidación de las redes de colaboración académica.
- Aparición de nuevas líneas temáticas, con algoritmos metaheurísticos que muestran un impacto significativo.
Conclusiones:
- Los algoritmos metaheurísticos son fundamentales para hacer avanzar el equilibrio exploración-explotación.
- Este estudio proporciona un marco cuantitativo e identifica las tendencias y oportunidades de investigación.
- Destaca la creciente importancia de la metaheurística en la optimización inspirada en la biología.
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