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Parallel tabu search in a heterogeneous environment

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

We discuss a parallel tabu search algorithm with implementation in a heterogeneous environment. Two parallelization strategies are integrated: functional decomposition and multi-search threads. In addition, domain decomposition strategy is implemented probabilistically. The performance of each strategy is observed and analyzed in terms of speeding up the search and finding better quality solutions. Experiments were conducted for the VLSI cell placement. The objective was to achieve the best possible solution in terms of interconnection length, timing performance, circuit speed, and area. The multiobjective nature of this problem is addressed using a fuzzy goal-based cost computation.

Original languageEnglish
Title of host publicationProceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)0769519261, 9780769519265
DOIs
StatePublished - 2003

Publication series

NameProceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003

Bibliographical note

Publisher Copyright:
© 2003 IEEE.

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Theoretical Computer Science
  • Software

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