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Minimization algorithm in the presence of random noise
Volume 1, Issue 1 (1990), pp. 59–70
Aldona KatkauskaitÄ—  

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https://doi.org/10.3233/INF-1990-1104
Pub. online: 1 January 1990      Type: Research Article     

Published
1 January 1990

Abstract

In this paper the problem of optimization of multivariate multimodal functions observed with random error is considered. Using the random function for a statistical model of the objective function the minimization procedure is suggested. This algorithm is convergent on a discrete set. To avoid computational difficulties, the modified algorithm is defined by substituting the parameters of minimization procedure by their estimates.

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Keywords
global optimization random noise estimates of parameters

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INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
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