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Multiobjective Optimization: Improved FPTAS for Shortest Paths and Non-linear Objectives with Applications

  • George Tsaggouris
  • Christos Zaroliagis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4288)

Abstract

We provide an improved FPTAS for multiobjective shortest paths, a fundamental (NP-hard) problem in multiobjective optimization, along with a new generic method for obtaining FPTAS to any multiobjective optimization problem with non-linear objectives. We show how these results can be used to obtain better approximate solutions to three related problems that have important applications in QoS routing and in traffic optimization.

Keywords

Multiobjective Optimization Short Path Problem Multiobjective Optimization Problem Cost Vector Fully Polynomial Time Approximation Scheme 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • George Tsaggouris
    • 1
  • Christos Zaroliagis
    • 2
  1. 1.Computer Technology InstitutePatras University CampusPatrasGreece
  2. 2.Dept of Computer Eng & InformaticsUniversity of PatrasPatrasGreece

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