ESTIMATION OF SELECTION EFFICIENCY FROM THE INCREMENT OF ADAPTATION

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Abstract

A genetic algorithm is proposed that uses not the adaptation (fitness) itself but the increment of adaptation during selection. The algorithm proposed makes it possible to avoid the premature convergence of computations. The efficiency of the algorithm is experimentally estimated.

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