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  Alternating cycles contribution: a strategy of tour-merging for the traveling salesman problem

Tamaki, H.(2003). Alternating cycles contribution: a strategy of tour-merging for the traveling salesman problem (MPI-I-2003-1-007). Saarbrücken: Max-Planck-Institut für Informatik.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-6B66-B Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-7746-3
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 Creators:
Tamaki, Hisao1, Author           
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1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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 Abstract: A strategy of merging several traveling salesman tours into a better tour, called ACC (Alternating Cycles Contribution) is introduced. Two algorithms embodying this strategy for geometric instances is implemented and used to enhance Helsgaun's implementaton of his variant of the Lin-Kernighan heuristic. Experiments on the large instances in TSPLIB show that a significant improvement of performance is obtained. These algorithms were used in September 2002 to find a new best tour for the largest instance pla85900 in TSPLIB.

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Language(s): eng - English
 Dates: 2003
 Publication Status: Issued
 Pages: 22 p.
 Publishing info: Saarbrücken : Max-Planck-Institut für Informatik
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 Identifiers: URI: http://domino.mpi-inf.mpg.de/internet/reports.nsf/NumberView/2003-1-007
Report Nr.: MPI-I-2003-1-007
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Title: Research Report / Max-Planck-Institut für Informatik
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