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Global Optimization: State-of-the-Art and Selected Applications.

Janos D. Pinter 18/10/2010


Janos D. Pinter

The objective of global optimization (GO) is to find [numerically] the absolutely best solution of nonlinear optimization models that [could] have a number of locally optimal solutions. After a concise introduction to key GO model types and solution strategies, a selection of GO applications is presented that include

* Black box systems optimization
* Experimental design
* Data classification
* Nonlinear model fitting (calibration, regression) 


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