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Metaheuristics to solve grouping problems: A review and a case study., , , and . Swarm Evol. Comput., (2020)Automated parameter tuning as a bilevel optimization problem solved by a surrogate-assisted population-based approach., , and . Appl. Intell., 51 (8): 5978-6000 (2021)Improving the Performance of Heuristic Algorithms Based on Causal Inference., , , , , , and . MICAI (1), volume 7094 of Lecture Notes in Computer Science, page 137-148. Springer, (2011)A Comprehensive Review of Task Scheduling Problem in Cloud Computing: Recent Advances and Comparative Analysis., , , , , , and . New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics, volume 1149 of Studies in Computational Intelligence, Springer, (2024)Towards a Quantitative Identification of Mobile Social Media UIDPs' Visual Features Using a Combination of Digital Image Processing and Machine Learning Techniques., , , , , and . Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms, volume 862 of Studies in Computational Intelligence, Springer, (2020)Enhancing Accuracy of Hybrid Packing Systems through General-Purpose Characterization., , , , , and . HAIS (2), volume 6679 of Lecture Notes in Computer Science, page 26-33. Springer, (2011)A new solution encoding scheme for solving the Flexible Job-Shop Scheduling Problem., , and . CEC, page 1-8. IEEE, (2023)Impact of Initial Tuning for Algorithm That Solve Query Routing., , , , and . IS-MiS, volume 171 of Advances in Intelligent Systems and Computing, page 315-323. Springer, (2012)An experimental approach to designing grouping genetic algorithms., and . Swarm Evol. Comput., (2024)Variation Operators for Grouping Genetic Algorithms: A Review., , , and . Swarm Evol. Comput., (2021)