Evolutionary Learning: Advances in Theories and Algorithms
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Publication:5223011
DOI10.1007/978-981-13-5956-9zbMath1426.68004OpenAlexW2945042120MaRDI QIDQ5223011
Zhi-Hua Zhou, Chao Qian, Yang Yu
Publication date: 4 July 2019
Full work available at URL: https://doi.org/10.1007/978-981-13-5956-9
Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Research exposition (monographs, survey articles) pertaining to computer science (68-02) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)
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Analysis of noisy evolutionary optimization when sampling fails ⋮ Single- and multi-objective evolutionary algorithms for the knapsack problem with dynamically changing constraints ⋮ Choosing the right algorithm with hints from complexity theory ⋮ Fourier analysis meets runtime analysis: precise runtimes on plateaus ⋮ Multi-class imbalance problem: a multi-objective solution ⋮ Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms
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