Abstract
We investigate a developmental tree-adjoining grammar guided genetic programming system (DTAG3P + ), in which genetic operator application rates are adapted during evolution. We previously showed developmental evaluation could promote structured solutions and improve performance in symbolic regression problems. However testing on parity problems revealed an unanticipated problem, that good building blocks for early developmental stages might be lost in later stages of evolution. The adaptive variation rate in DTAG3P + preserves good building blocks found in early search for later stages. It gives both good performance on small k-parity problems, and good scaling to large problems.
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References
Lindenmayer, A.: Mathematical models for cellular interaction in development, parts i and ii. Journal of Theoretical Biology 18, 280–299, 300–315 (1968)
Hoai, N.X., McKay, R.I.B., Essam, D.: Representation and structural difficulty in genetic programming. IEEE Transactions on Evolutionary Computation 10(2), 157–166 (2006)
McKay, R.I., Hoang, T.H., Essam, D.L., Nguyen, X.H.: Developmental evaluation in genetic programming: the preliminary results. In: Collet, P., Tomassini, M., Ebner, M., Gustafson, S., Ekárt, A. (eds.) EuroGP 2006. LNCS, vol. 3905, pp. 280–289. Springer, Heidelberg (2006)
Hao, H.T., Essam, D., McKay, R.I., Nguyen, X.H.: Developmental evaluation in genetic programming: A TAG-based framework. In: Pham, T.L., Le, H.K., Nguyen, X.H. (eds.) Proceedings of the Third Asian-Pacific workshop on Genetic Programming, pp. 86–97. Military Technical Academy, Hanoi, VietNam (2006)
Shin, J., Kang, M., McKay, R.I.B., Nguyen, X., Hoang, T.H., Mori, N., Essam, D.: Analysing the regularity of genomes using compression and expression simplification. In: EuroGP 2007. LNCS, vol. 4445, pp. 251–260. Springer, Heidelberg (2007)
Koza, J.R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge, MA, USA (1992)
Schwefel, H.P.: Numerical Optimization of Computer Models. John Wiley & Sons, Inc., New York, NY, USA (1981)
Bäck, T., Schwefel, H.P.: An overview of evolutionary algorithms for parameter optimization. Evol. Comput. 1(1), 1–23 (1993)
Angeline, P.J., Pollack, J.B.: Coevolving high-level representations. In: Langton, C.G. (ed.) Artificial Life III. SFI Studies in the Sciences of Complexity, vol. XVII, pp. 55–71, Addison-Wesley, Santa Fe, New Mexico (June 15-19, 1992/1994)
Rosca, J.P., Ballard, D.H.: Hierarchical self-organization in genetic programming. In: Proceedings of the Eleventh International Conference on Machine Learning, Morgan Kaufmann, San Francisco (1994)
Angeline, P.J.: Two self-adaptive crossover operators for genetic programming. In: Angeline, P.J., Kinnear Jr., K.E. (eds.) Advances in Genetic Programming 2, pp. 89–110. MIT Press, Cambridge, MA, USA (1996)
Teller, A.: Evolving programmers: The co-evolution of intelligent recombination operators. In: Angeline, P.J., Kinnear Jr., K.E. (eds.) Advances in Genetic Programming 2, pp. 45–68. MIT Press, Cambridge, MA, USA (1996)
Iba, H., de Garis, H.: Extending genetic programming with recombinative guidance. In: Angeline, P.J., Kinnear Jr., K.E. (eds.) Advances in Genetic Programming 2., pp. 69–88. MIT Press, Cambridge, MA, USA (1996)
Angeline, P.J.: Adaptive and self-adaptive evolutionary computations. In: Palaniswami, M., Attikiouzel, Y. (eds.) Computational Intelligence: A Dynamic Systems Perspective, pp. 152–163. IEEE Press, NJ, New York (1995)
Prusinkiewicz, P., Lindenmayer, A.: The algorithmic beauty of plants. Springer, New York, NY, USA (1996)
Langdon, W.B., Poli, R.: Why “building blocks” don’t work on parity problems. Technical Report CSRP-98-17, University of Birmingham, School of Computer Science (July 13, 1998)
Poli, R., Page, J.: Solving high-order boolean parity problems with smooth uniform crossover, sub-machine code GP and demes. Genetic Programming and Evolvable Machines 1(1/2), 37–56 (2000)
Schabes, Y., Waters, R.: Tree insertion grammar: A cubic-time parsable formalism that lexicalizes context-free grammar without changing the trees produced. Computational Linguistics 20(1), 479–513 (1995)
Lukasiewicz, J.: On Three-Valued Logic, pp. 16–18. Clarendon Press, Oxford, UK (1967)
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Hoang, TH., Essam, D., McKay, B., Hoai, NX. (2007). Building on Success in Genetic Programming: Adaptive Variation and Developmental Evaluation. In: Kang, L., Liu, Y., Zeng, S. (eds) Advances in Computation and Intelligence. ISICA 2007. Lecture Notes in Computer Science, vol 4683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74581-5_15
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DOI: https://doi.org/10.1007/978-3-540-74581-5_15
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