Hierarchical Approach in Clustering to Euclidean Traveling Salesman Problem

Fajar, A. and Herman, N. S. and Abu, N. A. and Sahib, S. (2011) Hierarchical Approach in Clustering to Euclidean Traveling Salesman Problem. In: International Conference on Advanced Research on Electronic Commerce, Web Application and Communication (ECWAC 2011), 16-17 April 2011, Guangzhou.

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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.

Item Type: Conference or Workshop Item (Paper)
Subjects: H Social Sciences > HE Transportation and Communications
Divisions: Faculty of Information and Communication Technology > Department of System and Computer Communication
Depositing User: Dr. Nur Azman Abu
Date Deposited: 03 Jan 2012 01:06
Last Modified: 03 Jan 2012 01:06
URI: http://eprints.utem.edu.my/id/eprint/339
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