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

School of Medicine and Health Sciences

Research output: Chapter in Book/Inform › Conference contribution

Abstract

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.

Original language	English (US)
Title of host publication	Artificial Intelligence and Knowledge Processing - 5th International Conference, Proceedings
Editors	Hemachandran Kannan, Raul Villamarin Rodriguez, Manjeet Rege, Vincenzo Piuri, Abejide AdeIbijola, Miguel López González de León, Imed Ben Dhaou
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	1-12
Number of pages	12
ISBN (Print)	9783032147059
DOIs	https://doi.org/10.1007/978-3-032-14706-6_1
State	Published - 2026
Event	5th International Conference on Artificial Intelligence and Knowledge Processing, AIKP 2025 - Hyderabad, India Duration: Oct 23 2025 → Oct 25 2025

Publication series

Name	Communications in Computer and Information Science
Volume	2804 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	5th International Conference on Artificial Intelligence and Knowledge Processing, AIKP 2025
Country/Territory	India
City	Hyderabad
Period	10/23/25 → 10/25/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

All Science Journal Classification (ASJC) codes

General Computer Science
General Mathematics

Access to Document

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

Cite this

Garcia, M. A. L., Galeano, C. E. S., & Orjuela-Cañón, A. D. (2026). Optimization of Routes for Hospitalary Subnetworks in Bogota Through Genetic Algorithms. In 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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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.\}",

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Garcia, MAL, Galeano, CES & Orjuela-Cañón, AD 2026, Optimization of Routes for Hospitalary Subnetworks in Bogota Through Genetic Algorithms. in 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).

Research output: Chapter in Book/Inform › Conference contribution

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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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M3 - Conference contribution

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T3 - Communications in Computer and Information Science

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EP - 12

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A2 - Kannan, Hemachandran

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A2 - Rege, Manjeet

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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. In Kannan H, Villamarin Rodriguez R, Rege M, Piuri V, AdeIbijola A, López González de León M, Ben Dhaou I, editors, 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

Abstract

Publication series

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UN SDGs

All Science Journal Classification (ASJC) codes

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