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Analysing the Effects of Diverse Operators in a Genetic Programming System.

, , , and . PPSN (1), volume 7491 of Lecture Notes in Computer Science, page 387-396. Springer, (2012)

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Flexible representation for genetic programming : lessons from natural language processing.. University of New South Wales, Canberra, Australia, (2004)base-search.net (ftunswworks:oai:unsworks.unsw.edu.au:1959.4/38750).Evolving approximations for the Gaussian Q-function by Genetic Programming with semantic based crossover., , , and . IEEE Congress on Evolutionary Computation, page 1-6. IEEE, (2012)Semantic based crossovers in Tree-Adjoining Grammar Guided Genetic Programming., , , and . RIVF, page 141-146. IEEE, (2013)Solving Trigonometric Identities with Tree Adjunct Grammar Guided Genetic Programming.. HIS, page 339-351. Physica-Verlag, (2001)Semantics based crossover for boolean problems., , , and . GECCO, page 869-876. ACM, (2010)Evolving the best known approximation to the Q function., , , , , and . GECCO, page 807-814. ACM, (2012)A study on Genetic Programming with layered learning and incremental sampling., , and . IEEE Congress on Evolutionary Computation, page 1179-1185. IEEE, (2011)Estimating the distribution and propagation of genetic programming building blocks through tree compression., , , , , and . GECCO, page 1011-1018. ACM, (2009)The impact of high dimensionality on SVM when classifying ERP data - A solution from LDA., , and . SoICT, page 32-37. ACM, (2015)A New Method for Simplifying Algebraic Expressions in Genetic Programming Called Equivalent Decision Simplification., , , , and . IWANN (2), volume 5518 of Lecture Notes in Computer Science, page 171-178. Springer, (2009)