Search Results - "data-driven algorithm design"

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    Learn to optimize—a brief overview by Tang, Ke, Yao, Xin

    ISSN: 2095-5138, 2053-714X, 2053-714X
    Published: China Oxford University Press 01.08.2024
    Published in National science review (01.08.2024)
    “…Most optimization problems of practical significance are typically solved by highly configurable parameterized algorithms. To achieve the best performance on a…”
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