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

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  • Mateescu, George Daniel

    (Institute of Economic Forecasting, Technical University of Civil Engineering, Romania)

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.

Suggested Citation

  • Mateescu, George Daniel, 2010. "On the Implementation and Use of a Genetic Algorithm with Genetic Acquisitions," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 223-230, July.
    • Handle: RePEc:rjr:romjef:v::y:2010:i:2:p:223-230
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    File URL: http://www.ipe.ro/rjef/rjef2_10/rjef2_10_14.pdf
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    References listed on IDEAS

    as
    1. Mateescu, George Daniel, 2005. "Optimization By Using Evolutionary Algorithms With Genetic Acquisitions," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 2(2), pages 26-30.
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      Keywords

      evolutionary algorithms; optimization;

      JEL classification:

      • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
      • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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