CLUSTERING PROCESS TO SOLVE EUCLIDEAN TSP

dc.contributor.authorFajar, Abdullah
dc.contributor.authorAbu, Nur Azman
dc.contributor.authorHerman, Nanna Suryana
dc.date.accessioned2011-04-02T01:45:56Z
dc.date.accessioned2019-10-21T11:45:54Z
dc.date.available2011-04-02T01:45:56Z
dc.date.available2019-10-21T11:45:54Z
dc.date.issued2010-07-10
dc.description.abstractHuman is able to cluster and filter object efficiently. Clustering problem has been approached from diverse domains of knowledge like graph theory, statistics, artificial neural network and so on. There has been growing interest in studying combinatorial optimization problems by clustering approach, with a special emphasis on the Euclidean Traveling Salesman Problem. Classical ETSP appears as a fundamental problem in various problem such as transportation, manufacturing and logistics application. This study will focus on tour construction. Most of methods focus on tour improvement and using nearest neighborhood for tour construction. This paper will use clustering process to decompose ETSP into smaller sub problem. Clustering process hierarchically arrange adjacency and vertices to form clusters. A threshold of edge weight is applied to split one clusters to several sub clusters. Using this approach the running time can be cut into half compared to TSPLib standard time. The main objective is to develop best clustering process to ETSP and produce a near optimal solution within 10% of best known solution in TSPLib.en_US
dc.identifier.issn978-1-4244-5539-3
dc.identifier.urihttp://repository.widyatama.ac.id/handle/123456789/1393
dc.language.isofren_US
dc.publisherIEEE PRESSen_US
dc.relation.ispartofseries;KII CD 037
dc.subjectHierarchical Clusteringen_US
dc.subjectEuclidean TSPen_US
dc.subjectTour Constructionen_US
dc.subjectAdjacencyen_US
dc.titleCLUSTERING PROCESS TO SOLVE EUCLIDEAN TSPen_US
dc.title.alternativeProceedings 2010 3rd IEEE International Conference on Computer Science and information Technologyen_US
dc.typeOtheren_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
content.pdf
Size:
2.14 MB
Format:
Adobe Portable Document Format
Description:
content
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.79 KB
Format:
Plain Text
Description: