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Multi-objective symbolic regression for physics-aware dynamic modeling., , и . Expert Syst. Appl., (2021)Black-box optimization benchmarking of two variants of the POEMS algorithm on the noiseless testbed.. GECCO (Companion), стр. 1567-1574. ACM, (2010)Symbolic Regression Methods for Reinforcement Learning., , , и . CoRR, (2019)Inducing Diverse Decision Forests with Genetic Programing., и . EuroGP, том 3447 из Lecture Notes in Computer Science, стр. 301-310. Springer, (2005)Multiobjective Prototype Optimization with Evolved Improvement Steps., , и . EvoCOP, том 4972 из Lecture Notes in Computer Science, стр. 218-229. Springer, (2008)An Integrated Approach to Goal Selection in Mobile Robot Exploration., , и . Sensors, 19 (6): 1400 (2019)Layout Problem Optimization Using Genetic Algorithms., , и . BASYS, том 229 из IFIP Conference Proceedings, стр. 493-500. Kluwer, (2002)Grammatical Concept Representation for Randomised Optimisation Algorithms in Relational Learning., , и . ISDA, стр. 1450-1455. IEEE Computer Society, (2009)Optimizing Events Traffic in Event-based Systems by means of Evolutionary Algorithms., и . ARES, стр. 1101-1107. IEEE Computer Society, (2007)Symbolic regression driven by training data and prior knowledge., , и . GECCO, стр. 958-966. ACM, (2020)