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Parallel Global Optimization Algorithms and Evaluation of the Efficiency of Parallelism

  • Roman G. Strongin
  • Yaroslav D. Sergeyev
Chapter
  • 479 Downloads
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 45)

Abstract

The general global optimization problem of finding a global minimizer x* and the global minimum φ(x*) of the multiextremal function φ(x) defined over a domain M, i.e.,
(5.1.1)
, arises in different applications and numerical methods are used to find ε-optimal solutions to this problem.

Keywords

Limit Point Parallel Algorithm Parallel Method Interval Number Global Optimization Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2000

Authors and Affiliations

  • Roman G. Strongin
    • 1
  • Yaroslav D. Sergeyev
    • 1
    • 2
  1. 1.Nizhni Novgorod State UniversityNizhni NovgorodRussia
  2. 2.Institute of Systems Analysis and Information TechnologyUniversity of CalabriaRendeItaly

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