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Titlebook: Modern Optimization with R; Paulo Cortez Book 2021Latest edition The Editor(s) (if applicable) and The Author(s), under exclusive license

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發(fā)表于 2025-3-21 17:52:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Modern Optimization with R
編輯Paulo Cortez
視頻videohttp://file.papertrans.cn/638/637321/637321.mp4
概述Covers use of software language R for a spectrum of modern optimization methods.Includes exercise sets and solutions.Suitable for undergraduate and graduate students in Computer Science and Informatio
叢書(shū)名稱Use R!
圖書(shū)封面Titlebook: Modern Optimization with R;  Paulo Cortez Book 2021Latest edition The Editor(s) (if applicable) and The Author(s), under exclusive license
描述The goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for solving complex problems for which no specialized optimization algorithm has been developed. These methods often yield high quality solutions with a more reasonable use of computational resources (e.g. memory and processing effort). Examples of popular modern methods discussed in this book are: simulated annealing; tabu search; genetic algorithms; differential evolution; and particle swarm optimization. This book is suitable for undergraduate and graduate students in computer science, information technology, and related areas, as well as data analysts interested in exploring modern optimization methods using R..This new edition integrates the latest R packages through text and code examples. It also discusses new topics, such as: the impact of artificial intelligence and business analytics in modern optimization tasks; the creation of interactive Web applications; usage of parallel compu
出版日期Book 2021Latest edition
關(guān)鍵詞R statistical tool; evolutionary computation; metaheuristics; particle swarm optimization; simulated ann
版次2
doihttps://doi.org/10.1007/978-3-030-72819-9
isbn_softcover978-3-030-72818-2
isbn_ebook978-3-030-72819-9Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
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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2197-5736 ate and graduate students in Computer Science and InformatioThe goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods
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2197-5736 examples. It also discusses new topics, such as: the impact of artificial intelligence and business analytics in modern optimization tasks; the creation of interactive Web applications; usage of parallel compu978-3-030-72818-2978-3-030-72819-9Series ISSN 2197-5736 Series E-ISSN 2197-5744
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Auswertungen aus CMTS und Kabelmodem,ginal automaton. Our construction works for automata operating on coalgebras for an arbitrary standard set functor which preserves weak pullbacks and restricts to finite sets..Our proof is coalgebraic in flavour in that we introduce and use a notion of game bisimilarity between certain kinds of parity games.
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