Optimization of Routes for Hospitalary Subnetworks in Bogota Through Genetic Algorithms

Mateo Alejandro Lopez Garcia; Camilo Eduardo Sotelo Galeano; Alvaro D. Orjuela-Cañón

doi:10.1007/978-3-032-14706-6_1

Optimization of Routes for Hospitalary Subnetworks in Bogota Through Genetic Algorithms

Mateo Alejandro Lopez Garcia
, Camilo Eduardo Sotelo Galeano
, Alvaro D. Orjuela-Cañón

Escuela de Medicina y Ciencias de la Salud

Producción científica: Capítulo en Libro/Informe › Contribución a la conferencia

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.

Idioma original	Inglés estadounidense
Título de la publicación alojada	Artificial Intelligence and Knowledge Processing - 5th International Conference, Proceedings
Editores	Hemachandran Kannan, Raul Villamarin Rodriguez, Manjeet Rege, Vincenzo Piuri, Abejide AdeIbijola, Miguel López González de León, Imed Ben Dhaou
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	1-12
Número de páginas	12
ISBN (versión impresa)	9783032147059
DOI	https://doi.org/10.1007/978-3-032-14706-6_1
Estado	Publicada - 2026
Evento	5th International Conference on Artificial Intelligence and Knowledge Processing, AIKP 2025 - Hyderabad, India Duración: oct. 23 2025 → oct. 25 2025

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	2804 CCIS
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	5th International Conference on Artificial Intelligence and Knowledge Processing, AIKP 2025
País/Territorio	India
Ciudad	Hyderabad
Período	10/23/25 → 10/25/25

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 11: Ciudades y comunidades sostenibles

Áreas temáticas de ASJC Scopus

Ciencia de la Computación General
Matemáticas General

Acceder al documento

10.1007/978-3-032-14706-6_1

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Citar esto

Garcia, M. A. L., Galeano, C. E. S., & Orjuela-Cañón, A. D. (2026). Optimization of Routes for Hospitalary Subnetworks in Bogota Through Genetic Algorithms. En H. Kannan, R. Villamarin Rodriguez, M. Rege, V. Piuri, A. AdeIbijola, M. López González de León, & I. Ben Dhaou (Eds.), Artificial Intelligence and Knowledge Processing - 5th International Conference, Proceedings (pp. 1-12). (Communications in Computer and Information Science; Vol. 2804 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-14706-6_1

Garcia, Mateo Alejandro Lopez ; Galeano, Camilo Eduardo Sotelo ; Orjuela-Cañón, Alvaro D. / Optimization of Routes for Hospitalary Subnetworks in Bogota Through Genetic Algorithms. Artificial Intelligence and Knowledge Processing - 5th International Conference, Proceedings. editor / Hemachandran Kannan ; Raul Villamarin Rodriguez ; Manjeet Rege ; Vincenzo Piuri ; Abejide AdeIbijola ; Miguel López González de León ; Imed Ben Dhaou. Springer Science and Business Media Deutschland GmbH, 2026. pp. 1-12 (Communications in Computer and Information Science).

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title = "Optimization of Routes for Hospitalary Subnetworks in Bogota Through Genetic Algorithms",

abstract = "The objective of this project is to optimize the routes of the different healthcare subnetworks in the city of Bogot{\'a}, 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.",

author = "Garcia, \{Mateo Alejandro Lopez\} and Galeano, \{Camilo Eduardo Sotelo\} and Orjuela-Ca{\~n}{\'o}n, \{Alvaro D.\}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; 5th International Conference on Artificial Intelligence and Knowledge Processing, AIKP 2025 ; Conference date: 23-10-2025 Through 25-10-2025",

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doi = "10.1007/978-3-032-14706-6\_1",

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Garcia, MAL, Galeano, CES & Orjuela-Cañón, AD 2026, Optimization of Routes for Hospitalary Subnetworks in Bogota Through Genetic Algorithms. En H Kannan, R Villamarin Rodriguez, M Rege, V Piuri, A AdeIbijola, M López González de León & I Ben Dhaou (eds.), Artificial Intelligence and Knowledge Processing - 5th International Conference, Proceedings. Communications in Computer and Information Science, vol. 2804 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 1-12, 5th International Conference on Artificial Intelligence and Knowledge Processing, AIKP 2025, Hyderabad, India, 10/23/25. https://doi.org/10.1007/978-3-032-14706-6_1

Optimization of Routes for Hospitalary Subnetworks in Bogota Through Genetic Algorithms. / Garcia, Mateo Alejandro Lopez; Galeano, Camilo Eduardo Sotelo; Orjuela-Cañón, Alvaro D.
Artificial Intelligence and Knowledge Processing - 5th International Conference, Proceedings. ed. / Hemachandran Kannan; Raul Villamarin Rodriguez; Manjeet Rege; Vincenzo Piuri; Abejide AdeIbijola; Miguel López González de León; Imed Ben Dhaou. Springer Science and Business Media Deutschland GmbH, 2026. p. 1-12 (Communications in Computer and Information Science; Vol. 2804 CCIS).

Producción científica: Capítulo en Libro/Informe › Contribución a la conferencia

TY - GEN

T1 - Optimization of Routes for Hospitalary Subnetworks in Bogota Through Genetic Algorithms

AU - Garcia, Mateo Alejandro Lopez

AU - Galeano, Camilo Eduardo Sotelo

AU - Orjuela-Cañón, Alvaro D.

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

Y1 - 2026

N2 - 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.

AB - 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.

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U2 - 10.1007/978-3-032-14706-6_1

DO - 10.1007/978-3-032-14706-6_1

M3 - Conference contribution

AN - SCOPUS:105028863298

SN - 9783032147059

T3 - Communications in Computer and Information Science

SP - 1

EP - 12

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

A2 - Kannan, Hemachandran

A2 - Villamarin Rodriguez, Raul

A2 - Rege, Manjeet

A2 - Piuri, Vincenzo

A2 - AdeIbijola, Abejide

A2 - López González de León, Miguel

A2 - Ben Dhaou, Imed

PB - Springer Science and Business Media Deutschland GmbH

T2 - 5th International Conference on Artificial Intelligence and Knowledge Processing, AIKP 2025

Y2 - 23 October 2025 through 25 October 2025

ER -

Garcia MAL, Galeano CES, Orjuela-Cañón AD. Optimization of Routes for Hospitalary Subnetworks in Bogota Through Genetic Algorithms. En Kannan H, Villamarin Rodriguez R, Rege M, Piuri V, AdeIbijola A, López González de León M, Ben Dhaou I, editores, Artificial Intelligence and Knowledge Processing - 5th International Conference, Proceedings. Springer Science and Business Media Deutschland GmbH. 2026. p. 1-12. (Communications in Computer and Information Science). doi: 10.1007/978-3-032-14706-6_1

Optimization of Routes for Hospitalary Subnetworks in Bogota Through Genetic Algorithms

Resumen

Serie de la publicación

Conferencia

ODS de las Naciones Unidas

Áreas temáticas de ASJC Scopus

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