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Tabu Search Algorithm Based on Strategic Oscillation for Nonlinear Minimum Spanning Tree Problems

  • Hideki Katagiri
  • Masatoshi Sakawa
  • Kosuke Kato
  • Ichiro Nishizaki
  • Takeshi Uno
  • Tomohiro Hayashida
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 5)

The minimum spanning tree (MST) problem is to find the least cost spanning tree in an edge-weighted graph. In the real world, MST problems are usually seen in network optimization. For instance, when designing a layout for telecommunication systems, if a decision maker prefers to minimize the total cost for connection between cities or sections, it is formulated as an MST problem. In other examples, the objective is to minimize the total time for construction or to maximize the network reliability.

In classical MST problems, weights attached to edges are constant, and all the weights are independent of each other. In other words, the objective function is linear. Polynomial–time algorithms for solving a usual MST problem were first constructed by Kruskal [1] and Prim [2]. Gabow et al. [3] and Chazelle [4] developed more efficient algorithms.

This paper is organized as follows: Section 2 formulates a nonlinear MST problem. In Section 3, we propose a solution algorithm using TS. Section 4 provides numerical experiments and shows the advantage of our algorithm over the algorithm using a GA.

Keywords

Local Search Span Tree Tabu Search Tabu List Tabu Search Algorithm 
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 Science+Business Media, LLC 2008

Authors and Affiliations

  • Hideki Katagiri
    • 1
  • Masatoshi Sakawa
    • 1
  • Kosuke Kato
    • 1
  • Ichiro Nishizaki
    • 1
  • Takeshi Uno
    • 1
  • Tomohiro Hayashida
    • 1
  1. 1.Graduate School of EngineeringHiroshima UniversityJapan

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