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Shortest-Path Algorithms and Dynamic Cost Changes

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Operations Research Proceedings 2007

Part of the book series: Operations Research Proceedings ((ORP,volume 2007))

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Abstract

Shortest-path algorithms are used to find an optimal way through a network. These networks often underlie dynamic changes, e.g. in a road network we find congestions or road works. These dynamic changes can cause a previously calculated route to be not up-to-date anymore. A shortest-path algorithm should react on these changes and present a new route without much overhead in time and space. The simplest way would be to calculate the whole route again. Dynamic shortest path algorithms with different features have been developed avoiding a full re-calculation. This paper describes the advantages of dynamic algorithms and provides an overview.

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References

  1. Ravindra Ahuja et al. (1993) Network Flows. Prentice-Hall

    Google Scholar 

  2. Ganesan Ramalingam (1996) Bounded Incremental Computation. Lecture Notes in Computer Science, Number 1089, Springer Verlag

    Google Scholar 

  3. Paolo Narvaez (2000) Routing Reconfiguration in IP Networks. PhD thesis, Massachusetts Institute of Technology

    Google Scholar 

  4. Daniele Frigioni et al. (2000) Fully dynamic algorithms for maintaining shortest paths trees. Journal of Algorithms 34:251–281

    Article  Google Scholar 

  5. Sven Koenig et al. (2001) Lifelong planning A*. Technical Report GITCOGSCI-2002/2, College of Computing, Georgia Institute of Technology, Atlanta (Georgia)

    Google Scholar 

  6. Camil Demetrescu (2001) Fully Dynamic Algorithms for Path Problems on Directed Graphs. PhD thesis, University of Rome “La Sapienza”

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  7. Sven Baselau (to be published) A*-Routensuche in zeitlich variablen Netzen (working title). PhD thesis, Universität Hildesheim

    Google Scholar 

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© 2008 Springer-Verlag Berlin Heidelberg

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Baselau, S., Hahne, F., Ambrosi, K. (2008). Shortest-Path Algorithms and Dynamic Cost Changes. In: Kalcsics, J., Nickel, S. (eds) Operations Research Proceedings 2007. Operations Research Proceedings, vol 2007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77903-2_17

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