The second potential use for genetic algorithms has been less discussed, but lies
in the field of testing and fitting quantitative models. Scientific research into a
problem area can be described as an iterative process. An explanatory or
descriptive model is constructed and data are collected and used to test the model.
When discrepancies are found, the models are modified. The process is repeated
until the problem is solved, or the researcher retires, dies, runs out of funds and
interest passes on to a new problem area.
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