Computational Economics

, Volume 33, Issue 1, pp 103–105 | Cite as

Robust Evolutionary Algorithm Design for Socio-Economic Simulation: Some Comments

  • Ludo Waltman
  • Nees Jan van Eck
Open Access


Genetic Algorithm Premature Convergence Chromosome Length Evolutionary Game Theory Binary Encode 
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Open Access

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  1. Alkemade F., La Poutré J.A., Amman H.M. (2006) Robust evolutionary algorithm design for socio-economic simulation. Computational Economics 28(4): 355–370 doi: 10.1007/s10614-006-9051-5 CrossRefGoogle Scholar
  2. Alkemade F., La Poutré J.A., Amman H.M. (2007) On social learning and robust evolutionary algorithm design in the Cournot oligopoly game. Computational Intelligence 23(2): 162–175 doi: 10.1111/j.1467-8640.2007.00300.x CrossRefGoogle Scholar
  3. Alkemade, F., La Poutré, J. A., & Amman, H. M. (2008). Robust evolutionary algorithm design for socio-economic simulation: A correction. Computational Economics.Google Scholar
  4. Arifovic J. (1994) Genetic algorithm learning and the cobweb model. Journal of Economic Dynamics & Control 18(1): 3–28 doi: 10.1016/0165-1889(94)90067-1CrossRefGoogle Scholar
  5. Arthur, W. B. (1994). Increasing returns and path dependence in the economy. University of Michigan Press.Google Scholar
  6. Beyer, H.-G. (2001). The theory of evolution strategies. Springer.Google Scholar
  7. Dawid, H. (1996). Adaptive learning by genetic algorithms. Number 441 in Lecture notes in economics and mathematical systems. Springer.Google Scholar
  8. Duffy, J. (2006). Agent-based models and human subject experiments. In L. Tesfatsion & K. L. Judd (Eds.), Handbook of computational economics (Vol. 2, pp. 949–1011). Elsevier.Google Scholar
  9. Kandori M., Mailath G.J., Rob R. (1993) Learning, mutation, and long run equilibria in games. Econometrica 61(1): 29–56 doi: 10.2307/2951777 CrossRefGoogle Scholar
  10. Nix A.E., Vose M.D. (1992) Modeling genetic algorithms with Markov chains. Annals of Mathematics and Artificial Intelligence 5(1): 79–88 doi: 10.1007/BF01530781 CrossRefGoogle Scholar
  11. Vega-Redondo F. (1997) The evolution of Walrasian behavior. Econometrica 65(2): 375–384 doi: 10.2307/2171898 CrossRefGoogle Scholar
  12. Weibull, J. W. (1995). Evolutionary game theory. MIT Press.Google Scholar

Copyright information

© The Author(s) 2008

Authors and Affiliations

  1. 1.Econometric Institute, Erasmus School of EconomicsErasmus University RotterdamRotterdamThe Netherlands

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