Convergence qualification of adaptive partition algorithms in global optimization

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Abstract

Following the presentation of a general partition algorithm scheme for seeking the globally best solution in multiextremal optimization problems, necessary and sufficient convergence conditions are formulated, in terms of respectively implied or postulated properties of the partition operator. The convergence results obtained are pertinent to a number of deterministic algorithms in global optimization, permitting their diverse modifications and generalizations.

Original languageEnglish (US)
Pages (from-to)343-360
Number of pages18
JournalMathematical Programming
Volume56
Issue number1-3
DOIs
StatePublished - Aug 1992
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • General Mathematics

Keywords

  • adaptive partition strategies
  • examples
  • Multiextremal optimization
  • necessary and sufficient convergence conditions

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