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Integrated experimental design and nonlinear optimization to handle computationally expensive models under resource constraints
(Springer Science+Business Media, 2013-09)
In many real-world applications of optimization, the underlying descriptive system model is defined by computationally expensive functions: simulation modules, numerical models and other “black box” model components are ...
Benchmarking nonlinear optimization software in technical computing environments
(Springer Science+Business Media, 2013-04)
Our strategic objective is to develop a broadly categorized, expandable collection of test problems, to support the benchmarking of nonlinear optimization software packages in integrated technical computing environments ...
Calibrating artificial neural networks by global optimization
(Elsevier, 2012-01)
Artificial neural networks (ANNs) are used extensively to model unknown or unspecified functional relationships between the input and output of a “black box” system. In order to apply the generic ANN concept to actual ...
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