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

被引：0

作者：

Patricia Zapata, Lina ^{[1
]}

Castro Carrasco, Francisco ^{[2
]}

Luis Aguayo, Jose ^{[3
]}

机构：

[1] Univ Politecn Salesiana, Grp Invest Desarrollo Aplicac & Software Basado T, Quito, Ecuador

[2] Escuela Politec Nacl, Quito, Ecuador

[3] Univ Politecn Salesiana, Grp Invest DASTIC, Quito, Ecuador

来源：

INTELLIGENT TECHNOLOGIES: DESIGN AND APPLICATIONS FOR SOCIETY, CITIS 2022 | 2023年 / 607卷

关键词：

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

D O I：

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

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：381 / 391

页数：11

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