Parallel algorithm for traveling salesman problem on SIMD machines using simulated annealing

Chang-Sung Jeong, M. H. Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The authors present a fast parallel simulated annealing algorithm for solving the traveling salesman problem (TSP) on single-instruction multiple-data (SIMD) machines with linear interconnections among processing elements. In the algorithm for TSP, it is shown that with the proper data distribution and movement schemes, the generation of a new configuration and the calculation of energy difference can be done in constant time, and the whole time complexity of the move operation is proportional to the time taken to broadcast one bit information on an acceptance decision to all the other processing elements (PEs) on a linear class computer with the same number of PEs as of cities. Therefore, if a control unit has the broadcasting capability, as is often the case with the SIMD machine, the move operation can be done in constant time and the whole simulated annealing algorithm has a time complexity only proportional to the number of moves.

Original languageEnglish
Title of host publicationProc 90 Int Conf Appl Specif Array Process
Place of PublicationPiscataway, NJ, United States
PublisherPubl by IEEE
Pages712-721
Number of pages10
ISBN (Print)0818690895
Publication statusPublished - 1991
Externally publishedYes
EventProceedings of the 1990 International Conference on Application Specific Array Processors - Princeton, NJ, USA
Duration: 1990 Sep 51990 Sep 7

Other

OtherProceedings of the 1990 International Conference on Application Specific Array Processors
CityPrinceton, NJ, USA
Period90/9/590/9/7

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Jeong, C-S., & Kim, M. H. (1991). Parallel algorithm for traveling salesman problem on SIMD machines using simulated annealing. In Proc 90 Int Conf Appl Specif Array Process (pp. 712-721). Publ by IEEE.