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Evolutionary design of the memory subsystem., , и . Appl. Soft Comput., (2018)Multi-objective optimization of energy consumption and execution time in a single level cache memory for embedded systems., , и . CoRR, (2023)Optimizing Performance of L1 Cache Memory for Embedded Systems driven by Differential Evolution., , , , и . GECCO (Companion), стр. 1383-1384. ACM, (2015)Optimizing L1 cache for embedded systems through grammatical evolution., , , , и . Soft Comput., 20 (6): 2451-2465 (2016)GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer's disease and frontotemporal dementia using genetic algorithms., , , , , , и . Medical Biol. Eng. Comput., 60 (9): 2737-2756 (2022)Estimating Energy Consumption in Evolutionary Algorithms by Means of FRBS - Towards Energy-Aware Bioinspired Algorithms., , , , и . EPIA, том 10423 из Lecture Notes in Computer Science, стр. 229-240. Springer, (2017)A fuzzy rule-based system to predict energy consumption of genetic programming algorithms., , , , , и . Comput. Sci. Inf. Syst., 15 (3): 635-654 (2018)