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Titlebook: Learning and Intelligent Optimization; 11th International C Roberto Battiti,Dmitri E. Kvasov,Yaroslav D. Serge Conference proceedings 2017

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發(fā)表于 2025-3-21 19:40:53 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Learning and Intelligent Optimization
副標題11th International C
編輯Roberto Battiti,Dmitri E. Kvasov,Yaroslav D. Serge
視頻videohttp://file.papertrans.cn/583/582887/582887.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Learning and Intelligent Optimization; 11th International C Roberto Battiti,Dmitri E. Kvasov,Yaroslav D. Serge Conference proceedings 2017
描述.This book constitutes the thoroughly refereed post-conference proceedings of the 11.th. International Conference on Learning and Intelligent Optimization, LION 11, held in Nizhny,Novgorod, Russia, in June 2017.. .The 20 full papers (among these one GENOPT paper) and 15 short papers presented have been carefully reviewed and selected from 73 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning..
出版日期Conference proceedings 2017
關鍵詞machine learning; mathematical programming; global optimization; local optimization; artificial intellli
版次1
doihttps://doi.org/10.1007/978-3-319-69404-7
isbn_softcover978-3-319-69403-0
isbn_ebook978-3-319-69404-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:13:59 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:33:33 | 只看該作者
Roberto Battiti,Dmitri E. Kvasov,Yaroslav D. SergeIncludes supplementary material:
地板
發(fā)表于 2025-3-22 08:11:06 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/l/image/582887.jpg
5#
發(fā)表于 2025-3-22 11:16:36 | 只看該作者
https://doi.org/10.1007/978-3-319-69404-7machine learning; mathematical programming; global optimization; local optimization; artificial intellli
6#
發(fā)表于 2025-3-22 13:36:36 | 只看該作者
A New Local Search for the ,-Center Problem Based on the Critical Vertex Conceptults attest the robustness of the proposed search procedure and confirm that for benchmark instances it converges to optimal or near/optimal solutions faster than the best known state-of-the-art local search.
7#
發(fā)表于 2025-3-22 18:06:09 | 只看該作者
Decomposition Descent Method for Limit Optimization Problemsof exact values of this function. We suggest to apply a two-level approach where approximate solutions of a sequence of mixed variational inequality problems are inserted in the iterative scheme of a selective decomposition descent method. Its convergence is attained under coercivity type conditions.
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發(fā)表于 2025-3-22 22:27:51 | 只看該作者
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發(fā)表于 2025-3-23 02:38:38 | 只看該作者
An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Detly, we describe how Importance Sampling can be used to generalize performance observations across algorithms with partially overlapping distributions, amortizing the cost of obtaining them. Finally, we implement the proposed approach as a Proof of Concept and validate it experimentally.
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發(fā)表于 2025-3-23 06:34:53 | 只看該作者
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