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Intelligent Mutation Rate Control in an Economic Application of Genetic Algorithms

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  • Michael Maschek

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Abstract

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Suggested Citation

  • Michael Maschek, 2010. "Intelligent Mutation Rate Control in an Economic Application of Genetic Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 35(1), pages 25-49, January.
  • Handle: RePEc:kap:compec:v:35:y:2010:i:1:p:25-49
    DOI: 10.1007/s10614-009-9190-6
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    File URL: http://hdl.handle.net/10.1007/s10614-009-9190-6
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    References listed on IDEAS

    as
    1. Arifovic, Jasmina, 1994. "Genetic algorithm learning and the cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 3-28, January.
    2. John Ledyard & Jasmina Arifovic, 2003. "Computer Testbeds: The Dynamics of Groves-Ledyard Mechanisms," Computing in Economics and Finance 2003 244, Society for Computational Economics.
    3. Townsend, Robert M, 1978. "Market Anticipations, Rational Expectations, and Bayesian Analysis," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(2), pages 481-494, June.
    4. Ulrich Witt, 2006. "Evolutionary Economics," Papers on Economics and Evolution 2006-05, Philipps University Marburg, Department of Geography.
    5. Nyarko, Yaw, 1990. "Bayesian Rationality And Learning Without Common Priors," Working Papers 90-45, C.V. Starr Center for Applied Economics, New York University.
    6. Michael Maschek & Jasmina Arifovic, 2003. "Expectations and Currency Crisis - An experimental approach," Computing in Economics and Finance 2003 245, Society for Computational Economics.
    7. Stephen J. DeCanio, 1979. "Rational Expectations and Learning from Experience," The Quarterly Journal of Economics, Oxford University Press, vol. 93(1), pages 47-57.
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    Citations

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    Cited by:

    1. Ludo Waltman & Nees Eck & Rommert Dekker & Uzay Kaymak, 2011. "Economic modeling using evolutionary algorithms: the effect of a binary encoding of strategies," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 737-756, December.
    2. Michael Maschek, 2016. "Economic Modeling Using Evolutionary Algorithms: The Influence of Mutation on the Premature Convergence Effect," Computational Economics, Springer;Society for Computational Economics, vol. 47(2), pages 297-319, February.
    3. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," IREA Working Papers 201801, University of Barcelona, Research Institute of Applied Economics, revised Jan 2018.
    4. repec:spr:qualqt:v:51:y:2017:i:6:d:10.1007_s11135-016-0416-0 is not listed on IDEAS
    5. P. Luizi & F. Cruz & J. Graaf, 2010. "Assessing the Quality of Pseudo-Random Number Generators," Computational Economics, Springer;Society for Computational Economics, vol. 36(1), pages 57-67, June.
    6. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming”," AQR Working Papers 201706, University of Barcelona, Regional Quantitative Analysis Group, revised May 2017.

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