On the Implementation and Use of a Genetic Algorithm with Genetic Acquisitions

George Mateescu ()

Journal for Economic Forecasting, 2010, issue 2, 223-230

Abstract: 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.

Keywords: evolutionary algorithms; optimization (search for similar items in EconPapers)
JEL-codes: C61 C63 (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:rjr:romjef:v::y:2010:i:2:p:223-230

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