文章基本信息

标题：Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology
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作者：Yannik Schälte ; Paul Stapor ; Jan Hasenauer 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：19
页码：98-101
DOI：10.1016/j.ifacol.2018.09.025
语种：English
出版社：Elsevier
摘要：AbstractDerivative-free optimization can be used to estimate parameters without computing derivatives. As there exist many methods, it is unclear which to use in practice. Here, we present two comparative studies of 18 state-of-the-art methods: Firstly, we evaluate them on a set of 466 classic optimization test problems of dimension 2 to 300. Secondly, we study their performance in parameter estimation on 8 ODE models of biological processes, comparing them to state-of-the-art derivative-based optimization. We observe that different problem features necessitate the use of different methods, for which we can give suggestions based on our findings. Our analysis suggests that classic test problems are not representative for problems in systems biology. For ODE models, we find that purely derivative-free methods are for most problems not reliable or at least inferior to derivative-based methods.
关键词：KeywordsDerivative-Free OptimizationParameter EstimationODE models