by Mateescu, George Daniel
Published in Romanian Journal of Economic Forecasting, 2010, volume 13 issue 2, 223-230
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A genetic algorithm is convergent when genetic mutations occur on the objective function gradient direction. These genetic mutations are called genetic acquisitions (Mateescu, 2005). We improved the algorithm and its implementation by using the characteristics of parents in order to generate new individuals. Finally, we applied the genetic algorithm in order to find the parameters of a Cobb-Douglas function.
evolutionary algorithms, optimization