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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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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
The Royal Society
2012
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| Témata: | |
| On-line přístup: | 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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