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Optimizing L1 cache for embedded systems through grammatical evolution., , , , и . Soft Comput., 20 (6): 2451-2465 (2016)Approaching epistemic and aleatoric uncertainty with evolutionary optimization: examples and challenges., , , , , , и . GECCO Companion, стр. 1909-1915. ACM, (2022)Short and Medium Term Blood Glucose Prediction Using Multi-objective Grammatical Evolution., , , и . EvoApplications, том 12104 из Lecture Notes in Computer Science, стр. 494-509. Springer, (2020)Modelling Asynchronous Systems using Probability Distribution Functions., , , , и . PDP, стр. 3-11. IEEE Computer Society, (2008)Improving SMT performance: an application of genetic algorithms to configure resizable caches., , , , и . GECCO (Companion), стр. 2029-2034. ACM, (2009)Tree-Based Grammatical Evolution with Non-Encoding Nodes., , и . GECCO Companion, стр. 63-64. ACM, (2023)Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution., , , , , и . GECCO, стр. 1227-1234. ACM, (2010)Clarke and parkes error grid analysis of diabetic glucose models obtained with evolutionary computation., , , , , , , , и . GECCO (Companion), стр. 1305-1312. ACM, (2014)A review of bioinspired computer-aided design tools for hardware design., , , и . Concurr. Comput. Pract. Exp., 25 (8): 1015-1036 (2013)Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting., , , , и . Memetic Comput., 10 (3): 267-277 (2018)