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Titlebook: Learning and Intelligent Optimization; 17th International C Meinolf Sellmann,Kevin Tierney Conference proceedings 2023 The Editor(s) (if ap

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書目名稱Learning and Intelligent Optimization
副標題17th International C
編輯Meinolf Sellmann,Kevin Tierney
視頻videohttp://file.papertrans.cn/583/582899/582899.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Learning and Intelligent Optimization; 17th International C Meinolf Sellmann,Kevin Tierney Conference proceedings 2023 The Editor(s) (if ap
描述.This book constitutes the refereed proceedings of the 17th International Conference on Learning and Intelligent Optimization, LION-17, held in Nice, France, during June 4–8, 2023..The 40 full papers presented have been carefully reviewed and selected from 83 submissions.?They focus on all aspects of unleashing the potential of integrating machine learning and optimization approaches, including automatic heuristic selection, intelligent restart strategies, predict-then-optimize, Bayesian optimization, and learning to optimize..
出版日期Conference proceedings 2023
關(guān)鍵詞Artificial Intelligence; Machine Learning; Artificial Intelligence; Search Methodologies; Intelligent Sy
版次1
doihttps://doi.org/10.1007/978-3-031-44505-7
isbn_softcover978-3-031-44504-0
isbn_ebook978-3-031-44505-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Learning and Intelligent Optimization978-3-031-44505-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Conference proceedings 2023f unleashing the potential of integrating machine learning and optimization approaches, including automatic heuristic selection, intelligent restart strategies, predict-then-optimize, Bayesian optimization, and learning to optimize..
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0302-9743 in Nice, France, during June 4–8, 2023..The 40 full papers presented have been carefully reviewed and selected from 83 submissions.?They focus on all aspects of unleashing the potential of integrating machine learning and optimization approaches, including automatic heuristic selection, intelligent
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