An application of algorithm based on abstract data types to the keratoconus diagnosis

In this paper, it is proposed a new genetic algorithm based on abstract data types approach for determination of coefficients can be adjusted by evolutionary process considering some metrics classification for keratoconus patients parameters from the ORA
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. It is intended to show the efficiency of genetic algorithm based on abstract data types in the characterization of a combined solution for complex optimization problems, like the classifier.