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Extended Tabu Search on Fuzzy Traveling Salesman Problem in Multi-criteria Analysis

  • Yujun Zheng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6124)

Abstract

The paper proposes an extended tabu search algorithm for the traveling salesman problem (TSP) with fuzzy edge weights. The algorithm considers three important fuzzy ranking criteria including expected value, optimistic value and pessimistic value, and performs a three-stage search towards the Pareto front, involving a preferred criterion at each stage. Simulations demonstrate that our approach can produce a set of near optimal solutions for fuzzy TSP instances with up to 750 uniformly randomly generated nodes.

Keywords

Tabu search traveling salesman problem fuzzy optimization multi-criteria decision making 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Yujun Zheng
    • 1
  1. 1.Institute of SoftwareChinese Academy of SciencesBeijingChina

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