Multiagent Algorithm for the Generation of Path Matrix of the Linear System Y = AX, Used in the Estimation of the Origin-Destination Matrix

Lina Patricia Zapata; Francisco Castro Carrasco; José Luis Aguayo

doi:10.1007/978-3-031-24327-1_33

Multiagent Algorithm for the Generation of Path Matrix of the Linear System Y = AX, Used in the Estimation of the Origin-Destination Matrix

Lina Patricia Zapata
, Francisco Castro Carrasco
, José Luis Aguayo

Grupo de Investigación Desarrollo de Aplicaciones y Software Basados en las TIC’S (DASTIC)
Grupo de Investigación Infraestructura de Datos Espaciales Inteligencia Artificial Geoportales y Computación Aplicada (IDE IA GEO CA)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

Resumen

Multiagent systems try to take advantage of the concurrency available in current computer architectures, which allows for to execution of several operations simultaneously, processing several tasks concurrently, or execute at the same time different applications on a single computer. This paper covers the implementation in the Java programming language of a multi-agent algorithm for generating and loading elements in the path matrix A that is part of the linear model Y = AX, used for the estimation of the Origin. The algorithm was implemented with multiagent systems on the JADE platform (Java Agent Development Framework). In addition, an Object-Oriented algorithm was implemented to compare its level of efficiency with the multi-agent algorithm, and the results arrived in tables and graphs explaining the concepts of efficiency were presented.

Idioma original	Inglés
Título de la publicación alojada	Intelligent Technologies
Subtítulo de la publicación alojada	Design and Applications for Society - Proceedings of CITIS 2022
Editores	Vladimir Robles-Bykbaev, Josefa Mula, Gilberto Reynoso-Meza
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	381-391
Número de páginas	11
ISBN (versión impresa)	9783031243264
DOI	https://doi.org/10.1007/978-3-031-24327-1_33
Estado	Publicada - 2023
Evento	8th International Conference on Science, Technology and Innovation for Society, CITIS 2022 - Guayaquil, Ecuador Duración: 22 jun. 2022 → 24 jun. 2022

Serie de la publicación

Nombre	Lecture Notes in Networks and Systems
Volumen	607 LNNS

Conferencia

Conferencia	8th International Conference on Science, Technology and Innovation for Society, CITIS 2022
País/Territorio	Ecuador
Ciudad	Guayaquil
Período	22/06/22 → 24/06/22

Nota bibliográfica

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Areas de Conocimiento del CACES

216A Diseño y administración de redes y bases de datos

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10.1007/978-3-031-24327-1_33

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Zapata, L. P., Castro Carrasco, F., & Aguayo, J. L. (2023). Multiagent Algorithm for the Generation of Path Matrix of the Linear System Y = AX, Used in the Estimation of the Origin-Destination Matrix. En V. Robles-Bykbaev, J. Mula, & G. Reynoso-Meza (Eds.), Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022 (pp. 381-391). (Lecture Notes in Networks and Systems; Vol. 607 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-24327-1_33

Zapata, Lina Patricia ; Castro Carrasco, Francisco ; Aguayo, José Luis. / Multiagent Algorithm for the Generation of Path Matrix of the Linear System Y = AX, Used in the Estimation of the Origin-Destination Matrix. Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022. editor / Vladimir Robles-Bykbaev ; Josefa Mula ; Gilberto Reynoso-Meza. Springer Science and Business Media Deutschland GmbH, 2023. pp. 381-391 (Lecture Notes in Networks and Systems).

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title = "Multiagent Algorithm for the Generation of Path Matrix of the Linear System Y = AX, Used in the Estimation of the Origin-Destination Matrix",

abstract = "Multiagent systems try to take advantage of the concurrency available in current computer architectures, which allows for to execution of several operations simultaneously, processing several tasks concurrently, or execute at the same time different applications on a single computer. This paper covers the implementation in the Java programming language of a multi-agent algorithm for generating and loading elements in the path matrix A that is part of the linear model Y = AX, used for the estimation of the Origin. The algorithm was implemented with multiagent systems on the JADE platform (Java Agent Development Framework). In addition, an Object-Oriented algorithm was implemented to compare its level of efficiency with the multi-agent algorithm, and the results arrived in tables and graphs explaining the concepts of efficiency were presented.",

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Zapata, LP, Castro Carrasco, F & Aguayo, JL 2023, Multiagent Algorithm for the Generation of Path Matrix of the Linear System Y = AX, Used in the Estimation of the Origin-Destination Matrix. En V Robles-Bykbaev, J Mula & G Reynoso-Meza (eds.), Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022. Lecture Notes in Networks and Systems, vol. 607 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 381-391, 8th International Conference on Science, Technology and Innovation for Society, CITIS 2022, Guayaquil, Ecuador, 22/06/22. https://doi.org/10.1007/978-3-031-24327-1_33

Multiagent Algorithm for the Generation of Path Matrix of the Linear System Y = AX, Used in the Estimation of the Origin-Destination Matrix. / Zapata, Lina Patricia; Castro Carrasco, Francisco; Aguayo, José Luis.
Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022. ed. / Vladimir Robles-Bykbaev; Josefa Mula; Gilberto Reynoso-Meza. Springer Science and Business Media Deutschland GmbH, 2023. p. 381-391 (Lecture Notes in Networks and Systems; Vol. 607 LNNS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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AU - Castro Carrasco, Francisco

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PY - 2023

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N2 - Multiagent systems try to take advantage of the concurrency available in current computer architectures, which allows for to execution of several operations simultaneously, processing several tasks concurrently, or execute at the same time different applications on a single computer. This paper covers the implementation in the Java programming language of a multi-agent algorithm for generating and loading elements in the path matrix A that is part of the linear model Y = AX, used for the estimation of the Origin. The algorithm was implemented with multiagent systems on the JADE platform (Java Agent Development Framework). In addition, an Object-Oriented algorithm was implemented to compare its level of efficiency with the multi-agent algorithm, and the results arrived in tables and graphs explaining the concepts of efficiency were presented.

AB - Multiagent systems try to take advantage of the concurrency available in current computer architectures, which allows for to execution of several operations simultaneously, processing several tasks concurrently, or execute at the same time different applications on a single computer. This paper covers the implementation in the Java programming language of a multi-agent algorithm for generating and loading elements in the path matrix A that is part of the linear model Y = AX, used for the estimation of the Origin. The algorithm was implemented with multiagent systems on the JADE platform (Java Agent Development Framework). In addition, an Object-Oriented algorithm was implemented to compare its level of efficiency with the multi-agent algorithm, and the results arrived in tables and graphs explaining the concepts of efficiency were presented.

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Zapata LP, Castro Carrasco F, Aguayo JL. Multiagent Algorithm for the Generation of Path Matrix of the Linear System Y = AX, Used in the Estimation of the Origin-Destination Matrix. En Robles-Bykbaev V, Mula J, Reynoso-Meza G, editores, Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 381-391. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-24327-1_33

Multiagent Algorithm for the Generation of Path Matrix of the Linear System Y = AX, Used in the Estimation of the Origin-Destination Matrix

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