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Food delivery based on pso algortihm and google maps

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This article presents a solution to deal with the optimization of delivery routes problem for a mobile application focused on the restaurant sector, by using a bioinspired algorithm (PSO) to minimize delivery costs, maximize a greater number of deliveries and recommend an optional route for food delivery. Different computational experiments are carried out by using Google Maps (API) for showing the best delivery route. The results obtained are very promising for offering a good delivery service.
Słowa kluczowe
Rocznik
Strony
60--72
Opis fizyczny
Bibliogr. 16 poz., fig.
Twórcy
autor
  • Tecnológico Nacional de México, Instituto Tecnológico de Apizaco, 90300, Carretera Apizaco-Tzompantepec, Esquina Av., Instituo Tecnologico S/N, Apizaco, Tlaxcala, México
  • Tecnológico Nacional de México, Instituto Tecnológico de Apizaco, 90300, Carretera Apizaco-Tzompantepec, Esquina Av., Instituo Tecnologico S/N, Apizaco, Tlaxcala, México
  • Smartsoft America Business Applications S.A. de C.V. 90806, Adolfo López Mateos S/N, Texcacoac, Chiautempan, Tlaxcala, México
  • Tecnológico Nacional de México, Instituto Tecnológico de Apizaco, 90300, Carretera Apizaco-Tzompantepec, Esquina Av., Instituo Tecnologico S/N, Apizaco, Tlaxcala, México
  • Smartsoft America Business Applications S.A. de C.V. 90806, Adolfo López Mateos S/N, Texcacoac, Chiautempan, Tlaxcala, México
  • Tecnológico Nacional de México, Instituto Tecnológico de Apizaco, 90300, Carretera Apizaco-Tzompantepec, Esquina Av., Instituo Tecnologico S/N, Apizaco, Tlaxcala, México
Bibliografia
  • [1] Archetti, C., Feillet, D., Mor, A., & Speranza, M. G. (2020). Dynamic traveling salesman problem with stochastic release dates. European Journal of Operational Research, 280(3), 832–844.
  • [2] Bruno, L. (2019). Solving a food-delivery problem with a Vehicle Routing Problem-based approach (Doctoral dissertation). Politecnico di Torino, Torino.
  • [3] Chen, L. W. (2019). Impact Assessment of Food Delivery on Urban Traffic. In 2019 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) (pp. 236–241). Zhengzhou, China: IEEE.
  • [4] Di Caro, G.A. (2012) Collective and Swarm Intelligence. Retrieved from https://sci2s.ugr.es/sites/default/ files/files/Teaching/GraduatesCourses/Metaheuristicas
  • [5] Fontana, R. J. (2004). Recent system applications of short-pulse ultra-wideband (uwb) technology. IEEE Transactions on microwave theory and techniques, 52(9), 2087-2104.
  • [6] Food Express. (2019). Application for food delivery. Retrieved from https://www.foodexpress.com.mx/ index.xhtml
  • [7] Google Maps. (2019). Satellite map display application. Retrieved from https://developers.google.com/ maps/documentation
  • [8] Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. In Proceeding of ICNN´95 – International Conference on Neural Networks (vol. 4, pp. 1942–1948). IEEE.
  • [9] Li, Y., Lim, M. K., & Tseng, M. L. (2019). A green vehicle routing model based on modified particle swarm optimization for cold chain logistics. Industrial Management & Data Systems, 119(3), 473–494. doi:10.1108/IMDS-07-2018-0314
  • [10] Paciarotti, C., Bevilacqua, M., Ciarapica, F. E., Mazzuto, G., & Postacchini, L. (2019). An efficiency analysis of food distribution system through data envelopment analysis. International Journal of Operational Research, 36(4), 538–554.
  • [11] Rodríguez, A., & Ruiz, R. (2012). The effect of the asymmetry of road transportation networks on the traveling salesman problem. Computers & Operations Research, 39(7), 1566–1576.
  • [12] Rodriguez, J., & Piccoli, G. (2020). Seeking Competitive Advantage Through Platform-Enabled Resources: The Case of Food Delivery Platforms. In Proceedings of the 53rd Hawaii International Conference on System Sciences (pp. 5545-5554).
  • [13] Sin Delantal Mx. (2019). Application for food delivery. Retrieved from https://www.sindelantal.mx
  • [14] Singh, G. (2020). Online Food Delivery Services: A Study on Demographic Attributes. Our Heritage, 68(1), 2147-2165.
  • [15] Stockdale, M. L. (2011). El problema del agente viajero: un algoritmo heurístico y una aplicación. Facultad de Ciencias Exactas y Naturales de la Universidad de Buenos Aires.
  • [16] Zhou, H., Yao, P., Xiao, Y., Fan, K., Zhang, Z., Gong, T., Zhao, L., Deng, M., Liu, C., & Ling, P. (2019). Friction and wear maps of copper metal matrix composites with different iron volume content. Tribology International, 132, 199-210.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9d43d014-b6d1-4c94-b96b-67f34cb0e8db
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