Use R!

Modern Optimization with R

Authors: Cortez, Paulo

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  • 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 Information Technology, and for data analysts
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書籍の購入

イーブック ¥8,007
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-72819-9
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
ソフトカバー ¥10,009
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-72818-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
この書籍について

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 computing; and more modern optimization algorithms (e.g., iterated racing, ant colony optimization, grammatical evolution). 

著者について

Paulo Cortez (Habilitation, PhD) is an Associate Professor (with tenure) at the Department of Information Systems, University of Minho, Portugal. He is also assistant director of the ALGORITMI R&D Centre. From 2012 to 2015, he was Vice-President of the Portuguese Association for Artificial Intelligence (www.appia.pt). Currently, he is Associate Editor of the journals Decision Support Systems and Expert Systems. His research, within the fields of decision support, data science, business analytics, machine learning, and modern optimization, has appeared in Journal of Heuristics, Decision Support Systems, Information Processing and Management, Information Sciences and others.


Table of contents (7 chapters)

Table of contents (7 chapters)

書籍の購入

イーブック ¥8,007
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-72819-9
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
ソフトカバー ¥10,009
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-72818-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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この書籍のサービス情報

書誌情報

Bibliographic Information
Book Title
Modern Optimization with R
Authors
Series Title
Use R!
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
イーブック ISBN
978-3-030-72819-9
DOI
10.1007/978-3-030-72819-9
ソフトカバー ISBN
978-3-030-72818-2
Series ISSN
2197-5736
Edition Number
2
Number of Pages
XVII, 254
Number of Illustrations
43 b/w illustrations
Topics