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

Research Group on Development of Applications and Software Based on ICTs (DASTIC)
Research Group on Spatial Data Infrastructure Artificial Intelligence Geoportals and Applied Computing (IDE IA GEO CA)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Intelligent Technologies
Subtitle of host publication	Design and Applications for Society - Proceedings of CITIS 2022
Editors	Vladimir Robles-Bykbaev, Josefa Mula, Gilberto Reynoso-Meza
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	381-391
Number of pages	11
ISBN (Print)	9783031243264
DOIs	https://doi.org/10.1007/978-3-031-24327-1_33
State	Published - 2023
Event	8th International Conference on Science, Technology and Innovation for Society, CITIS 2022 - Guayaquil, Ecuador Duration: 22 Jun 2022 → 24 Jun 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	607 LNNS

Conference

Conference	8th International Conference on Science, Technology and Innovation for Society, CITIS 2022
Country/Territory	Ecuador
City	Guayaquil
Period	22/06/22 → 24/06/22

Bibliographical note

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

Keywords

FIPA - ACL
Jade
Multiagent systems
Object-oriented programming
Route matrix

Access to Document

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

Cite this

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. In 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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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. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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. In Robles-Bykbaev V, Mula J, Reynoso-Meza G, editors, 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this