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Empirical analysis of schemata in Genetic Programming using maximal schemata and MSG., и . IEEE Congress on Evolutionary Computation, стр. 2983-2990. IEEE, (2008)A Comprehensive Evaluation of Five Evapotranspiration Datasets Based on Ground and GRACE Satellite Observations: Implications for Improvement of Evapotranspiration Retrieval Algorithm., , , , и . Remote. Sens., 13 (12): 2414 (2021)Using Learning Classifier Systems to Learn Stochastic Decision Policies., , и . IEEE Trans. Evol. Comput., 19 (6): 885-902 (2015)Evolving Deep Convolutional Neural Networks for Image Classification., , , и . IEEE Trans. Evol. Comput., 24 (2): 394-407 (2020)Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-Invariant Texture Image Descriptors., , , и . IEEE Trans. Evol. Comput., 21 (6): 825-844 (2017)Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling., , , , и . IEEE Trans. Evol. Comput., 25 (4): 651-665 (2021)Genetic Programming With Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem., , и . IEEE Trans. Evol. Comput., 26 (4): 765-779 (2022)Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators., , и . IEEE Trans. Evol. Comput., 23 (3): 488-502 (2019)Guest Editorial Special Issue on Multitask Evolutionary Computation., , , и . IEEE Trans. Evol. Comput., 26 (2): 202-205 (2022)Knowledge Transfer Genetic Programming With Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem., , , и . IEEE Trans. Evol. Comput., 27 (2): 311-325 (апреля 2023)