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

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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 originalInglés
Título de la publicación alojadaIntelligent Technologies
Subtítulo de la publicación alojadaDesign and Applications for Society - Proceedings of CITIS 2022
EditoresVladimir Robles-Bykbaev, Josefa Mula, Gilberto Reynoso-Meza
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas381-391
Número de páginas11
ISBN (versión impresa)9783031243264
DOI
EstadoPublicada - 2023
Evento8th International Conference on Science, Technology and Innovation for Society, CITIS 2022 - Guayaquil, Ecuador
Duración: 22 jun. 202224 jun. 2022

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen607 LNNS

Conferencia

Conferencia8th International Conference on Science, Technology and Innovation for Society, CITIS 2022
País/TerritorioEcuador
CiudadGuayaquil
Período22/06/2224/06/22

Nota bibliográfica

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

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