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Squeeze-and-breathe evolutionary Monte Carlo optimization with local search acceleration and its application to parameter fitting

Estimating parameters from data is a key stage of the modelling process, particularly in biological systems where many parameters need to be estimated from sparse and noisy datasets. Over the years, a variety of heuristics have been proposed to solve this complex optimization problem, with good resu...

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Detaylı Bibliyografya
Asıl Yazarlar: Beguerisse-Díaz, Mariano, Wang, Baojun, Desikan, Radhika, Barahona, Mauricio
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: The Royal Society 2012
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC3385745/
https://ncbi.nlm.nih.gov/pubmed/22262815
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsif.2011.0767
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