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The Naive MIDEA: A Baseline Multi-objective EA.

, and . EMO, volume 3410 of Lecture Notes in Computer Science, page 428-442. Springer, (2005)

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Learning Structure Illuminates Black Boxes - An Introduction to Estimation of Distribution Algorithms., , and . Advances in Metaheuristics for Hard Optimization, Springer, (2008)Model-Based Evolutionary Algorithms., and . GECCO (Companion), page 385-412. ACM, (2016)Model-Based Evolutionary Algorithms., and . GECCO (Companion), page 93-120. ACM, (2015)Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy., , , , , , , , , and 4 other author(s). CoRR, (2020)Learning and exploiting mixed variable dependencies with a model-based EA., , and . CEC, page 4382-4389. IEEE, (2016)Data variation-aware medical image segmentation., , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Heed the noise in performance evaluations in neural architecture search., , and . GECCO Companion, page 2104-2112. ACM, (2022)Solving multi-structured problems by introducing linkage kernels into GOMEA., , , and . GECCO, page 703-711. ACM, (2022)GPU-accelerated parallel gene-pool optimal mixing in a gray-box optimization setting., and . GECCO, page 675-683. ACM, (2022)Evolutionary neural cascade search across supernetworks., , and . GECCO, page 1038-1047. ACM, (2022)