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Estimating the Significant Non-Linearities in the Genome Problem-Coding

. Proceedings of the Genetic and Evolutionary Computation Conference, 1, page 643--648. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)

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Elitist Recombination: An Integrated Selection Recombination GA., and . International Conference on Evolutionary Computation, page 508-512. IEEE, (1994)Hierarchical Genetic Algorithms., , and . PPSN, volume 3242 of Lecture Notes in Computer Science, page 232-241. Springer, (2004)On the Use of a Non-redundant Encoding for Learning Bayesian Networks from Data with a GA., and . PPSN, volume 3242 of Lecture Notes in Computer Science, page 141-150. Springer, (2004)Model-based evolutionary algorithms., and . GECCO (Companion), page 377-404. ACM, (2013)On the complexity of hierarchical problem solving., , and . GECCO, page 1201-1208. ACM, (2005)Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm., , and . GECCO, page 1005-1012. ACM, (2011)Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them., , , and . CoRR, (2024)An adaptive pursuit strategy for allocating operator probabilities.. GECCO, page 1539-1546. ACM, (2005)Non-Redundant Genetic Coding of Neural Networks.. International Conference on Evolutionary Computation, page 571-575. IEEE, (1996)Model-based evolutionary algorithms: GECCO 2017 tutorial., and . GECCO (Companion), page 545-575. ACM, (2017)