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Gaussian Adaptation, an evolution-based efficient global optimizer
Ericsson.
Ericsson.
1992 (English)In: Computational and Applied Mathematics (IMACS) / [ed] Brezinski, I. C., Kulish, U, Amsterdam: North-Holland , 1992, 267-276 p.Chapter in book (Refereed)
Abstract [en]

Gaussian Adaptation (GA), is an algorithm that adapts a Gaussian distribution to a feasible region such that its entropy is maximized while keeping the hitting probability constant. Typical areas of application are (1) minimization of functions that may be non-differentiable, (2) maximization of manufacturing yield and (3) discrete optimization. In this contribution it will be shown that GA is a simple, efficient global optimizer. Despite its simplicity, GA may be seen as a second order approximation of the natural evolution of populations

Place, publisher, year, edition, pages
Amsterdam: North-Holland , 1992. 267-276 p.
Keyword [en]
Gaussian Adaptation, optimization, maximization of manufacturing yield, discrete optimization
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-111406OAI: oai:DiVA.org:liu-111406DiVA: diva2:756241
Available from: 2014-10-16 Created: 2014-10-16 Last updated: 2014-10-17

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Taxén, Lars

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • Other style
More styles
Language
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  • sv-SE
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Output format
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