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Solving traveling salesman problems using a parallel synchronized branch and bound algorithm

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High-Performance Computing and Networking (HPCN-Europe 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1067))

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Abstract

In this paper we describe an efficient parallel synchronized branch and bound (PSBB) algorithm for distributed memory parallel computers. The parallelization of the sequential best-first branch and bound algorithm is based on the concept of alternating computation and synchronization steps. The computational steps simplify the problem to solve whereas the synchronization phases solve the problem of load balancing and data distribution. Experimental results show the efficiency of the proposed PSBB algorithm when solving traveling salesman problems on a massively parallel Cray T3D machine.

Supported by Swiss National Science Foundation grants SPP-IF 5003-034349 and SPP-IF 5003-034349/2 as well as the European Union Human Capital and Mobility project SCOOP.

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Heather Liddell Adrian Colbrook Bob Hertzberger Peter Sloot

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© 1996 Springer-Verlag Berlin Heidelberg

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Diderich, C.G., Gengler, M. (1996). Solving traveling salesman problems using a parallel synchronized branch and bound algorithm. In: Liddell, H., Colbrook, A., Hertzberger, B., Sloot, P. (eds) High-Performance Computing and Networking. HPCN-Europe 1996. Lecture Notes in Computer Science, vol 1067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61142-8_607

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  • DOI: https://doi.org/10.1007/3-540-61142-8_607

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61142-4

  • Online ISBN: 978-3-540-49955-8

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