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On using genetic algorithms for intrinsic side-channel resistance: the case of AES S-box., , , , , and . CS2@HiPEAC, page 13-18. ACM, (2014)Analyzing gene expression data: Fuzzy decision tree algorithm applied to the classification of cancer data., , and . FUZZ-IEEE, page 1-8. IEEE, (2015)On the evolution of bent (n, m) functions., , and . CEC, page 2137-2144. IEEE, (2017)Comparison of solution representations for scheduling in the unrelated machines environment., and . MIPRO, page 1336-1342. IEEE, (2016)Comparison of schedule generation schemes for designing dispatching rules with genetic programming in the unrelated machines environment., and . Appl. Soft Comput., (2020)Comparison of ensemble learning methods for creating ensembles of dispatching rules for the unrelated machines environment., and . Genet. Program. Evolvable Mach., 19 (1-2): 53-92 (2018)Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions., , , and . CoRR, (2023)Evolving Cryptographic Pseudorandom Number Generators., , , , , and . PPSN, volume 9921 of Lecture Notes in Computer Science, page 613-622. Springer, (2016)Genetic programming for electric vehicle routing problem with soft time windows., , and . GECCO Companion, page 542-545. ACM, (2022)Genetic Programming Heuristics for Multiple Machine Scheduling., , and . EuroGP, volume 4445 of Lecture Notes in Computer Science, page 321-330. Springer, (2007)