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Model Building, Model Testing and Model Fitting

By: J.E. Everett

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Genetic algorithms are useful for testing and fitting quantitative models. Sensible
discussion of this use of genetic algorithms depends upon a clear view of the
nature of quantitative model building and testing. We consider the formulation of
such models, and the various approaches that might be taken to fit model
parameters. Available optimization methods are discussed, ranging from
analytical methods, through various types of hill-climbing, randomized search
and genetic algorithms. A number of examples illustrate that modeling problems
do not fall neatly into this clear-cut hierarchy. Consequently, a judicious selection
of hybrid methods, selected according to the model context, is preferred to any
pure method alone in designing .....