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Optimization By Using Evolutionary Algorithms With Genetic Acquisitions

Author

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  • Mateescu, George Daniel

    (Institute for Economic Forecasting)

Abstract

Evolutionary algorithms represent a powerful tool for a wide set of problems, based on biological principles. The main goal of this article is to underline the principle of genetic acquisitions. To do this, we will use mutations with respect to the gradient of an objective function.

Suggested Citation

  • 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.
    • Handle: RePEc:rjr:romjef:v:2:y:2005:i:2:p:26-30
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    Cited by:

    1. 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.

    More about this item

    Keywords

    optimization; evolutionary algorithms; gradient;
    All these keywords.

    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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