Gaussian Adaptation, an evolution-based efficient global optimizer
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)
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.
Gaussian Adaptation, optimization, maximization of manufacturing yield, discrete optimization
IdentifiersURN: urn:nbn:se:liu:diva-111406OAI: oai:DiVA.org:liu-111406DiVA: diva2:756241