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On the Application of Genetic Algorithms to Differential Equations

Author

Listed:
  • Mateescu, George Daniel

    (Institute for Economic Forecasting, Technical University of Civil Engineering, Bucharest.)

Abstract

Genetic algorithms can be used in order to solve optimization problems. Such a technique may be used in order to solve differential equations.

Suggested Citation

  • Mateescu, George Daniel, 2006. "On the Application of Genetic Algorithms to Differential Equations," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 3(2), pages 5-9, June.
    • Handle: RePEc:rjr:romjef:v:3:y:2006:i:2:p:5-9
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    File URL: http://www.ipe.ro/rjef/rjef2_06/rjef2_06_1.pdf
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    Citations

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    Cited by:

    1. Ciuiu, Daniel, 2009. "Linear Programming by Solving Systems of Differential Equations Using Game Theory," MPRA Paper 17191, University Library of Munich, Germany, revised Jun 2009.
    2. Ali, Javaid & Raza, Ali & Ahmed, Nauman & Ahmadian, Ali & Rafiq, Muhammad & Ferrara, Massimiliano, 2021. "Evolutionary optimized Padé approximation scheme for analysis of covid-19 model with crowding effect," Operations Research Perspectives, Elsevier, vol. 8(C).

    More about this item

    Keywords

    differential equations; genetic algorithms;

    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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