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  • 标题:Applying Genetic Algorithms and RIA Technologies to the Development of Complex-VRP Tools in Real-World Distribution of Petroleum Products
  • 本地全文:下载
  • 作者:Moratilla Ocaña, Antonio ; Fernández Vicente, Eugenio ; Olmeda Martos, José Ignacio
  • 期刊名称:Journal of Information and Organizational Sciences
  • 印刷版ISSN:1846-3312
  • 电子版ISSN:1846-9418
  • 出版年度:2014
  • 卷号:38
  • 期号:2
  • 页码:109-124
  • 语种:English
  • 出版社:Faculty of Organization and Informatics University of Zagreb
  • 摘要: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.
  • 关键词:RIA; SmartGWT; Web Framework; Web Architecture; Genetic Algorithms; VRP
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