Genetic Algorithm for Geographic Route Optimization

Título traducido de la contribución: Algoritmo Genético Para La Optimización De Ruta Geográfica

Huarote Zegarra Raúl Eduardo, Vega Luján Yensi, Romero Valencia Mónica Patricia, Castañeda Hilario Aradiel, Flores Masías Edward José, Larios Franco Alfredo Cesar, Jhonatan Isaac Vargas Huaman

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This research seeks to cover the need to find the shortest route, considering the distance between geographical points, based on Haversine's theory, to find the optimal route of a set of points in space or gps. The artificial intelligence-based model called a genetic algorithm has been used. Applying the evolutionary model for optimization has resulted in a duration of 24.7 and 210.6 sec, with adaptation functions of 0.79 and 0.76, 76 and 206 generations to the tests carried out of 10 and 100 points respectively. Demonstrating that by applying the genetic algorithm it is possible to find the possible best solution, which is the short route of n geographical points.

Título traducido de la contribuciónAlgoritmo Genético Para La Optimización De Ruta Geográfica
Idioma originalInglés
Título de la publicación alojada19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
Subtítulo de la publicación alojada"Prospective and Trends in Technology and Skills for Sustainable Social Development" and "Leveraging Emerging Technologies to Construct the Future", LACCEI 2021 - Proceedings
EditoresMaria M. Larrondo Petrie, Luis Felipe Zapata Rivera, Catalina Aranzazu-Suescun
EditorialLatin American and Caribbean Consortium of Engineering Institutions
ISBN (versión digital)9789585207189
DOI
EstadoPublicada - 2021
Evento19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Prospective and Trends in Technology and Skills for Sustainable Social Development" and "Leveraging Emerging Technologies to Construct the Future", LACCEI 2021 - Virtual, Online
Duración: 19 jul. 202123 jul. 2021

Serie de la publicación

NombreProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volumen2021-July
ISSN (versión digital)2414-6390

Conferencia

Conferencia19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Prospective and Trends in Technology and Skills for Sustainable Social Development" and "Leveraging Emerging Technologies to Construct the Future", LACCEI 2021
CiudadVirtual, Online
Período19/07/2123/07/21

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