Tendency of Evolution Supervised by Genetic Algorithms

A genetic algorithm had been developed and implemented in order to identify the optimal determination coefficient of using a multiple linear regression approach for structure-activity relationships. An experiment was conducted using Molecular Descriptors Family as genetic material and a sample of 206 polychlorinated biphenyls with measured octanol-water partition coefficients as environment of adaptation. The GA was repeated for 46 times for every pair of survival and selection strategies from proportional, tournament and deterministic ones. The Fisher-Tippett distribution was found suitable to characterize a moment of evolution. Tendency models of distribution were constructed from the pool of all Fisher-Tippett distributions in every recorded generation from 1 to 20000.

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