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A Hybrid Algorithm Based on Tabu Search and Ant Colony Optimization for k-Minimum Spanning Tree Problems

  • Hideki Katagiri
  • Tomohiro Hayashida
  • Ichiro Nishizaki
  • Jun Ishimatsu
Conference paper
  • 653 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5861)

Abstract

This paper considers an efficient approximate algorithm for solving k-minimum spanning tree problems which is one of the combinatorial optimization in networks. A new hybrid algorithm based on tabu search and ant colony optimization is provided. Results of numerical experiments show that the proposed method updates some of the best known values and that the proposed method provides a relatively better performance with solution accuracy over existing algorithms.

Keywords

k-minimum spanning tree tabu search ant colony optimization hybrid algorithm approximate solution 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Hideki Katagiri
    • 1
  • Tomohiro Hayashida
    • 1
  • Ichiro Nishizaki
    • 1
  • Jun Ishimatsu
    • 1
  1. 1.Graduate School of EngineeringHiroshima UniversityJapan

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