Abstract
We present a new method of Logic-Based Genetic Programming (LBGP). Using the intrinsic mechanism of backtracking in Prolog, we utilize large individual programs with redundant clauses, and apply them to small populations. Our method is validated by the experiments about Symbolic Regression, and XOR problems.
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References
Goldberg, D.E., Korb, B., Deb, K.: Messy Genetic Algorithms: Motivation, Analysis, and First Results. Complex Systems 3, 493–530 (1989)
Koza, J.R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge (1992)
Raik, S.: Genetic Programming in Prolog, CMU-AI-Reposiroty (1993)
Terao, M., Iba, H.: Controlling Effective Introns for Multi-Agent Learning by Genetic Programming. In: Proc. of GECCO 2000, pp. 419–426 (2000)
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Taniguchi, K., Terano, T. (2004). Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming. In: Deb, K. (eds) Genetic and Evolutionary Computation – GECCO 2004. GECCO 2004. Lecture Notes in Computer Science, vol 3103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24855-2_87
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DOI: https://doi.org/10.1007/978-3-540-24855-2_87
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