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Applying Genetic Algorithms and RIA Technologies to the Development of Complex-VRP Tools in Real-World Distribution of Petroleum Products

Antonio Moratilla Ocaña ; Computer Science Department, Alcalá University, Alcalá de Henares, Spain
Eugenio Fernández Vicente ; Computer Science Department, Alcalá University, Alcalá de Henares, Spain
José Ignacio Olmeda Martos ; Computer Science Department, Alcalá University, Alcalá de Henares, Spain
Juan José Sánchez Peña ; Computer Science Department, Alcalá University, Alcalá de Henares, Spain
Alberto Moratilla Ocaña ; Computer Science Department, Alcalá University, Alcalá de Henares, Spain

Puni tekst: engleski, pdf (885 KB) str. 109-124 preuzimanja: 127* citiraj
APA 6th Edition
Moratilla Ocaña, A., Fernández Vicente, E., Olmeda Martos, J.I., Sánchez Peña, J.J. i Moratilla Ocaña, A. (2014). Applying Genetic Algorithms and RIA Technologies to the Development of Complex-VRP Tools in Real-World Distribution of Petroleum Products. Journal of Information and Organizational Sciences, 38 (2), 109-124. Preuzeto s https://hrcak.srce.hr/130815
MLA 8th Edition
Moratilla Ocaña, Antonio, et al. "Applying Genetic Algorithms and RIA Technologies to the Development of Complex-VRP Tools in Real-World Distribution of Petroleum Products." Journal of Information and Organizational Sciences, vol. 38, br. 2, 2014, str. 109-124. https://hrcak.srce.hr/130815. Citirano 15.10.2019.
Chicago 17th Edition
Moratilla Ocaña, Antonio, Eugenio Fernández Vicente, José Ignacio Olmeda Martos, Juan José Sánchez Peña i Alberto Moratilla Ocaña. "Applying Genetic Algorithms and RIA Technologies to the Development of Complex-VRP Tools in Real-World Distribution of Petroleum Products." Journal of Information and Organizational Sciences 38, br. 2 (2014): 109-124. https://hrcak.srce.hr/130815
Harvard
Moratilla Ocaña, A., et al. (2014). 'Applying Genetic Algorithms and RIA Technologies to the Development of Complex-VRP Tools in Real-World Distribution of Petroleum Products', Journal of Information and Organizational Sciences, 38(2), str. 109-124. Preuzeto s: https://hrcak.srce.hr/130815 (Datum pristupa: 15.10.2019.)
Vancouver
Moratilla Ocaña A, Fernández Vicente E, Olmeda Martos JI, Sánchez Peña JJ, Moratilla Ocaña A. Applying Genetic Algorithms and RIA Technologies to the Development of Complex-VRP Tools in Real-World Distribution of Petroleum Products. Journal of Information and Organizational Sciences [Internet]. 2014 [pristupljeno 15.10.2019.];38(2):109-124. Dostupno na: https://hrcak.srce.hr/130815
IEEE
A. Moratilla Ocaña, E. Fernández Vicente, J.I. Olmeda Martos, J.J. Sánchez Peña i A. Moratilla Ocaña, "Applying Genetic Algorithms and RIA Technologies to the Development of Complex-VRP Tools in Real-World Distribution of Petroleum Products", Journal of Information and Organizational Sciences, vol.38, br. 2, str. 109-124, 2014. [Online]. Dostupno na: https://hrcak.srce.hr/130815. [Citirano: 15.10.2019.]

Sažetak
Distribution problems had held a large body of research and development covering the VRP problem and its multiple characteristics, but few investigations examine it as an Information System, and far fewer as how it should be addressed from a development and implementation point of view. This paper describes the characteristics of a real information system for fuel distribution problems at country scale, joining the VRP research and development work using Genetic Algorithms, with the design of a Web based Information System. In this paper a view of traditional workflow in this area is shown, with a new approximation in which is based proposed system. Taking into account all constraint in the field, the authors have developed a VRPWeb-based solution using Genetic Algorithms with multiple web frameworks for each architecture layer, focusing on functionality and usability, in order to minimizing human error and maximizing productivity. To achieve these goals, authors have use SmartGWT as a powerful Web based RIA SPA framework with java integration, and multiple server frameworks and OSS based solutions, applied to development of a very complex VRP system for a logistics operator of petroleum products.

Ključne riječi
RIA; SmartGWT; Web Framework; Web Architecture; Genetic Algorithms; VRP

Hrčak ID: 130815

URI
https://hrcak.srce.hr/130815

Posjeta: 258 *