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  2. Optimization of Routes for Hospitalary Subnetworks in Bogota Through Genetic Algorithms

Optimization of Routes for Hospitalary Subnetworks in Bogota Through Genetic Algorithms Contribuciones en conferencias

  • Perfil
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  • Información Adicional De Documento

Perfil

Editorial / medio

  • Springer Science and Business Media Deutschland GmbH

Nombre del libro

  • Artificial Intelligence and Knowledge Processing - 5th International Conference, Proceedings

Autor

  • Camilo Eduardo Sotelo Galeano
  • Mateo Alejandro Lopez Garcia

Resumen

  • The objective of this project is to optimize the routes of the different healthcare subnetworks in the city of Bogotá, aiming to provide support to the city's residents, ambulances, patients, or hospitals for their transportation needs. Additionally, we aim to propose changes in the distribution of the subnetworks, if necessary, to enhance and optimize travel times between medical centers. To achieve this, we will employ the technique of genetic algorithms, which involves crossbreeding individuals (solutions) from a pool of potential solutions to find the most optimal route in terms of time for traversing the northern, southwestern, central-eastern, and south subnetworks.

Área temática

  • Ciudades y comunidades sostenibles

autores

  • http://vivoweb.org/ontology/core#FacultyMember
    Alvaro David Orjuela Cañón

fecha de publicación

  • 2026-1-1

Identidad

Identificador de objeto digital (DOI)

  • https://doi.org/10.1007/978-3-032-14706-6_1

Número Estándar Internacional de Libros (ISBN)

  • 9783032147059

Información adicional de documento

Número de páginas

  • 12

Página inicial

  • 1

Última página

  • 12