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Hierarchical Approach in Clustering to Euclidean Traveling Salesman Problem

  • Abdulah Fajar
  • Nanna Suryana Herman
  • Nur Azman Abu
  • Sahrin Shahib
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 143)

Abstract

There has been growing interest in studying combinatorial optimization problems by clustering strategy, with a special emphasis on the traveling salesman problem (TSP). TSP naturally arises as a sub problem in much transportation, manufacturing and logistics application, this problem has caught much attention of mathematicians and computer scientists. A clustering approach will decompose TSP into sub graph and form cluster, so it may reduce problem size into smaller problem. Impact of hierarchical approach will be investigated to produce a better clustering strategy that fit into Euclidean TSP. Clustering strategy to Euclidean TSP consist of two main step, there are; clustering and tour construction. The significant of this research is clustering approach solution result has error less than 10% compare to best known solution (TSPLIB) and there is improvement to a hierarchical clustering algorithm in order to fit in such Euclidean TSP solution method.

Keywords

Hierarchical Approach Clustering Dendogram Tour Construction Euclidean TSP 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Abdulah Fajar
    • 1
    • 2
  • Nanna Suryana Herman
    • 2
  • Nur Azman Abu
    • 2
  • Sahrin Shahib
    • 2
  1. 1.Faculty of EngineeringUniversitas WidyatamaBandungIndonesia
  2. 2.Faculty of Information and Communication TechnologyUniversiti Teknikal MalaysiaDurian Tunggal MelakaMalaysia

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