TY - GEN
T1 - Métodos Algorítmicos para la optimización de rutas en el Sistema del Transporte Urbano
AU - Neicer, Campos Vásquez
AU - Carlos, Cueva Clemente
AU - Maribel, Bautista Zuñiga Lucia
AU - Luis, Sotomayor Burga Juan
N1 - Publisher Copyright:
© 2021 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2021
Y1 - 2021
N2 - This article shows and determines the different algorithmic methods that were applied to optimize the routes of the urban transport system at a national (Peru) and international level, due to the main factor that is the growth of demand (users) and the little response The objective of this article is to present the different approaches and scenarios from the application of algorithms such as: genetic (evolutionary, simple) dijkstra, PSO, cultural (ACs), colony of ants (ACO) and Taboo. This qualitative and quantitative analysis was carried out through the method of collecting data from different academic sources such as: Redalyc, Scopus, Scielo and the academic Google search engine. The results show us the different ways to optimize an established route and the creation of a new route in the urban transport system.
AB - This article shows and determines the different algorithmic methods that were applied to optimize the routes of the urban transport system at a national (Peru) and international level, due to the main factor that is the growth of demand (users) and the little response The objective of this article is to present the different approaches and scenarios from the application of algorithms such as: genetic (evolutionary, simple) dijkstra, PSO, cultural (ACs), colony of ants (ACO) and Taboo. This qualitative and quantitative analysis was carried out through the method of collecting data from different academic sources such as: Redalyc, Scopus, Scielo and the academic Google search engine. The results show us the different ways to optimize an established route and the creation of a new route in the urban transport system.
KW - PSO
KW - cultural (ACS) and ant colony.
KW - dijkstra
KW - genetic algorithm
UR - https://www.scopus.com/pages/publications/85139375243
U2 - 10.18687/LEIRD2021.1.1.32
DO - 10.18687/LEIRD2021.1.1.32
M3 - Contribución a la conferencia
AN - SCOPUS:85139375243
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 1st LACCEI International Multi-Conference on Entrepreneurship, Innovation, and Regional Development
A2 - Larrondo Petrie, Maria M.
A2 - Zapata Rivera, Luis Felipe
A2 - Aranzazu-Suescun, Catalina
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 1st LACCEI International Multi-Conference on Entrepreneurship, Innovation, and Regional Development: Ideas to Overcome and Emerge from the Pandemic Crisis, LEIRD 2021
Y2 - 9 December 2021 through 10 December 2021
ER -