DESA: a new hybrid global optimization method and its application to analog integrated circuit sizing

This paper presents a new hybrid global optimization method referred to as DESA. The algorithm exploits random sampling and the metropolis criterion from simulated annealing to perform global search. The population of points and efficient search strategy of differential evolution are used to speed u...

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Veröffentlicht in:	Journal of global optimization 2009-05, Vol.44 (1), p.53-77
Hauptverfasser:	Olenšek, Jernej, Bűrmen, Árpád, Puhan, Janez, Tuma, Tadej
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Computer Science Design Experiments Integrated circuits Mathematical functions Mathematics Mathematics and Statistics Methods Operations Research/Decision Theory Optimization Population Real Functions Studies
Online-Zugang:	Volltext
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