Optimal Upgrading Schemes for Effective Shortest Paths in Networks
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  • 刊名:Lecture Notes in Computer Science
  • 出版年:2016
  • 出版时间:2016
  • 年:2016
  • 卷:9676
  • 期:1
  • 页码:406-420
  • 全文大小:277 KB
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  • 作者单位:Eduardo Álvarez-Miranda (14)
    Martin Luipersbeck (15)
    Markus Sinnl (15)

    14. Department of Industrial Engineering, Universidad de Talca, Curicó, Chile
    15. Department Statistics and Operations Research, University of Vienna, Vienna, Austria
  • 丛书名:Integration of AI and OR Techniques in Constraint Programming
  • ISBN:978-3-319-33954-2
  • 刊物类别:Computer Science
  • 刊物主题:Artificial Intelligence and Robotics
    Computer Communication Networks
    Software Engineering
    Data Encryption
    Database Management
    Computation by Abstract Devices
    Algorithm Analysis and Problem Complexity
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1611-3349
  • 卷排序:9676
文摘
In this paper, a generalization of a recently proposed optimal path problem concerning decisions for improving connectivity is considered [see 6]. Each node in the given network is associated with a connection delay which can be reduced by implementing upgrading actions. For each upgrading action a cost must be paid, and the sum must satisfy a budget constraint. Given a fixed budget, the goal is to choose a set of upgrading actions such that the total delay of establishing paths among predefined node pairs is minimized. This model has applications in areas like multicast communication planning and wildlife reserve design.

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