ARGONAUT: AlgoRithms for Global Optimization of coNstrAined grey-box compUTational problems

标题
ARGONAUT: AlgoRithms for Global Optimization of coNstrAined grey-box compUTational problems
作者
关键词
Grey-box optimization, Surrogate modeling, Variable selection, Derivative-free optimization, General constraints, Nonlinear programming
出版物
Optimization Letters
Volume 11, Issue 5, Pages 895-913
出版商
Springer Nature
发表日期
2016-04-14
DOI
10.1007/s11590-016-1028-2

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