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Comparing different metaheuristics for model selection in a supervised learning classifier system., , , , и . GECCO Companion, стр. 316-319. ACM, (2022)Towards Models of Conceptual and Procedural Operator Knowledge., , , , и . SemIIM, том 3355 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations., , и . GECCO Companion, стр. 127-128. ACM, (2020)Reliability-Based Aggregation of Heterogeneous Knowledge to Assist Operators in Manufacturing., , , и . ICSC, стр. 131-138. IEEE, (2022)Robot Gardens: An Augmented Reality Prototype for Plant-robot Biohybrid Systems, , и . Proceedings of the 22Nd ACM Conference on Virtual Reality Software and Technology, стр. 139--142. New York, NY, USA, ACM, (2016)PDPK: A Framework to Synthesise Process Data and Corresponding Procedural Knowledge for Manufacturing., , , и . CoRR, (2023)SupRB in the context of rule-based machine learning methods: A comparative study., , , , , и . Appl. Soft Comput., (ноября 2023)Classifying Metaheuristics: Towards a unified multi-level classification system., , и . Nat. Comput., 21 (2): 155-171 (2022)Design of large-scale metaheuristic component studies., , , и . GECCO Companion, стр. 1217-1226. ACM, (2021)On Data-Preprocessing for Effective Predictive Maintenance on Multi-Purpose Machines., , , и . DATA, стр. 606-612. SCITEPRESS, (2023)