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C. FERREIRA Complex Systems, 13 (2): 87-129, 2001

Gene Expression Programming: A New Adaptive Algorithm for Solving Problems

  1. M. Mitchell, An Introduction to Genetic Algorithms (MIT Press, 1996).

  2. J. Maynard Smith and E. Szathmáry, The Major Transitions in Evolution (W. H. Freeman, 1995).

  3. R. Dawkins, River out of Eden (Weidenfeld and Nicolson, 1995).

  4. W. Banzhaf, “Genotype-phenotype-mapping and Neutral variation - A Case Study in Genetic Programming”, in Y. Davidor, H.-P. Schwefel, and R. Männer, eds., Parallel Problem Solving from Nature III, Vol. 866 of Lecture Notes in Computer Science (Springer-Verlag, 1994).

  5. R. E. Keller and W. Banzhaf, “Genetic Programming Using Genotype-phenotype Mapping from Linear Genomes into Linear Phenotypes”, in J. R. Koza, D. E. Goldberg, D. B. Fogel, and R. L. Riolo, eds., Genetic Programming 1996: Proceedings of the First Annual Conference (MIT Press, 1996).

  6. M. J. Keith and M. C. Martin, “Genetic Programming in C++: Implementation Issues”, in K. E. Kinnear, ed., Advances in Genetic Programming (MIT Press, 1994).

  7. W. Banzhaf, P. Nordin, R. E. Keller, and F. D. Francone, Genetic Programming: An Introduction: On the Automatic Evolution of Computer Programs and its Applications (Morgan Kaufmann, San Francisco, 1998).

  8. J. H. Holland, Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence, second edition (MIT Press, 1992).

  9. J. R. Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection, (MIT Press, Cambridge, MA, 1992).

  10. D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning (Addison-Wesley, 1989).

  11. M. Lynch and J. S. Conery, “The Evolutionary Fate and Consequences of Duplicated Genes”, Science, 290 (2000), 1151-1155.

  12. M. Mitchell, P. T. Hraber, and J. P. Crutchfield, “Revisiting the Edge of Chaos: Evolving Cellular Automata to Perform Computations”, Complex Systems, 7 (1993), 89-130.

  13. M. Mitchell, J. P. Crutchfield, and P. T. Hraber, “Evolving Cellular Automata to Perform Computations: Mechanisms and Impediments”, Physica D, 75 (1994), 361-391.

  14. J. P. Crutchfield and M. Mitchell, “The Evolution of Emergent Computation”, Proceedings of the National Academy of Sciences, USA, 82 (1995), 10742-10746.

  15. R. Das, M. Mitchell, and J. P. Crutchfield, “A Genetic Algorithm Discovers Particle-based Computation in Cellular Automata”, in Y. Davidor, H.-P. Schwefel, and R. Männer, eds., Parallel Problem Solving from Nature - PPSN III (Springer-Verlag, 1994).

  16. J. R. Koza, F. H. Bennett III, D. Andre, and M. A. Keane, Genetic Programming III: Darwinian Invention and Problem Solving (Morgan Kaufmann, San Francisco, 1999).

  17. H. Juillé, and J. B. Pollack, “Coevolving the “Ideal” Trainer: Application to the Discovery of Cellular Automata Rules”, in J. R. Koza, W. Banzhaf, K. Chellapilla, M. Dorigo, D. B. Fogel, M. H. Garzon, D. E. Goldberg, H. Iba, and R. L. Riolo, eds., Genetic Programming 1998: Proceedings of the Third Annual Conference (Morgan Kaufmann, San Francisco, 1998).

  18. U.-M. O’Reilly and F. Oppacher, “A Comparative Analysis of Genetic Programming”, in P. J. Angeline and K. E. Kinnear, eds., Advances in Genetic Programming 2 (MIT Press, 1996).

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