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Application of GA to optimize cutting conditions for minimizing surface roughness in end milling machining process., , и . Expert Syst. Appl., 37 (6): 4650-4659 (2010)Fuzzy logic for modeling machining process: a review., , , и . Artif. Intell. Rev., 43 (3): 345-379 (2015)Modeling, reasoning, and application of fuzzy Petri net model: a survey., , , и . Artif. Intell. Rev., 55 (8): 6567-6605 (2022)scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network., , , , и . Briefings Bioinform., (марта 2023)Multi-objective hybrid evolutionary algorithms for radial basis function neural network design., , и . Knowl. Based Syst., (2012)A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction., , , , и . Frontiers Inf. Technol. Electron. Eng., 24 (11): 1574-1590 (ноября 2023)Fusing Fine-Grained Information of Sequential News for Personalized News Recommendation., , , , и . DEXA (2), том 14147 из Lecture Notes in Computer Science, стр. 119-125. Springer, (2023)Estimation of optimal machining control parameters using artificial bee colony., , , , и . J. Intell. Manuf., 25 (6): 1463-1472 (2014)A process prediction model based on Cuckoo algorithm for abrasive waterjet machining., , , и . J. Intell. Manuf., 26 (6): 1247-1252 (2015)Integration of simulated annealing and genetic algorithm to estimate optimal solutions for minimising surface roughness in end milling Ti-6AL-4V., , и . Int. J. Computer Integrated Manufacturing, 24 (6): 574-592 (2011)