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Journal of Global Optimization

, Volume 1, Issue 3, pp 207–228 | Cite as

Stochastic techniques for global optimization: A survey of recent advances

  • Fabio Schoen
Article

Abstract

In this paper stochastic algorithms for global optimization are reviewed. After a brief introduction on random-search techniques, a more detailed analysis is carried out on the application of simulated annealing to continuous global optimization. The aim of such an analysis is mainly that of presenting recent papers on the subject, which have received only scarce attention in the most recent published surveys. Finally a very brief presentation of clustering techniques is given.

Key words

Stochastic algorithms simulated annealing clustering 

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Copyright information

© Kluwer Academic Publishers 1991

Authors and Affiliations

  • Fabio Schoen
    • 1
  1. 1.Dept. Information SciencesUniversity of MilanoMilanoItaly

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