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Parallel Branch-and-bound Attraction Based Methods for Global Optimzation

  • Kaj Madsen
  • Julius Žilinskas
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 59)

Abstract

In this paper a parallel version of an attraction based branch-and-bound method for global optimization is presented. The method has been implemented and tested using a parallel Scali system. Some well known test functions as well as two practical problems were used for the testing. The results show the prospectiveness of dynamic load balancing for the distributed parallelization of the considered algorithm.

Keywords

Global optimization parallel branch-and-bound testing of GO algorithms 

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Bibliography

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Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • Kaj Madsen
    • 1
  • Julius Žilinskas
    • 2
  1. 1.Department of Mathematical ModelingTechnical University of DenmarkLyngbyDenmark
  2. 2.Department of InformaticsKaunas University of TechnologyKaunasLithuania

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