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PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization.

, , , , , , , , and . AutoML, volume 224 of Proceedings of Machine Learning Research, page 11/1-17. PMLR, (2023)

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Deep statistics: more robust performance statistics for single-objective optimization benchmarking., , , , , and . GECCO Companion, page 5-6. ACM, (2020)The continuous differential ant-stigmergy algorithm for numerical optimization., and . Comput. Optim. Appl., 56 (2): 481-502 (2013)The Continuous Differential Ant-Stigmergy Algorithm applied on real-parameter single objective optimization problems., and . IEEE Congress on Evolutionary Computation, page 1658-1663. IEEE, (2013)A stigmergy-based algorithm for black-box optimization: noiseless function testbed., and . GECCO (Companion), page 2295-2302. ACM, (2009)Optimizing the Shape of an Impeller Using the Differential Ant-Stigmergy Algorithm., , , and . PPAM, volume 4967 of Lecture Notes in Computer Science, page 520-529. Springer, (2007)Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction., , , , and . CEC, page 1-8. IEEE, (2022)The differential Ant-Stigmergy Algorithm for large-scale global optimization., , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2010)Reducing bias in multi-objective optimization benchmarking., and . GECCO Companion, page 27-28. ACM, (2021)Robust benchmarking for multi-objective optimization., and . GECCO Companion, page 9-10. ACM, (2021)Mesh Partitioning: A Multilevel Ant-Colony-Optimization Algorithm., , and . IPDPS, page 146. IEEE Computer Society, (2003)