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Titlebook: Recent Advances in Soft Computing and Cybernetics; Radek Matou?ek,Jakub K?dela Book 2021 The Editor(s) (if applicable) and The Author(s),

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發(fā)表于 2025-3-21 16:53:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Recent Advances in Soft Computing and Cybernetics
編輯Radek Matou?ek,Jakub K?dela
視頻videohttp://file.papertrans.cn/823/822992/822992.mp4
概述Presents recent research in fields of Soft Computing and Cybernetics.Covers both new theoretical and application-oriented results.Includes contributions from various areas such as automation, control
叢書名稱Studies in Fuzziness and Soft Computing
圖書封面Titlebook: Recent Advances in Soft Computing and Cybernetics;  Radek Matou?ek,Jakub K?dela Book 2021 The Editor(s) (if applicable) and The Author(s),
描述This monograph is intended for researchers and professionals in the fields of computer science and cybernetics. Nowadays, the areas of computer science and cybernetics (mainly its artificial intelligence branches) are subject to an immense degree of study and are applied in a wide range of technical and industrial projects. The individual chapters of this monograph were developed from a series of invited lectures at the Brno University of Technology in the years 2018 and 2019. The main aim of these lectures was to create an opportunity for students, academics, and professionals to exchange ideas, novel research methods, and new industrial applications in the fields related to soft computing and cybernetics. The authors of these chapters come from around the world and their works cover both new theoretical and application-oriented results from areas such as automation, control, robotics, optimization, statistics, reinforcement learning, image processing, and evolutionary algorithms..
出版日期Book 2021
關(guān)鍵詞Soft Computing; Cybernetics; Artificial Intelligence; Computer Science; Industrial Applications
版次1
doihttps://doi.org/10.1007/978-3-030-61659-5
isbn_softcover978-3-030-61661-8
isbn_ebook978-3-030-61659-5Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
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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978-3-030-61661-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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https://doi.org/10.1007/978-3-030-61659-5Soft Computing; Cybernetics; Artificial Intelligence; Computer Science; Industrial Applications
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Many-objective Optimisation for an Integrated Supply Chain Management Problem After parameter tuning, we used NSGA-III at its best performance and tested it on twenty four synthetic and real-world problem instances considering three performance metrics, hypervolume, generational distance and inverted generational distance.
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