Modern optimization with R / Paulo Cortez.
Cortez, Paulo.
2021
QA276.45.R3 C67 2021
Available Online

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Title Modern optimization with R / Paulo Cortez.
Author Cortez, Paulo.
Edition 2nd ed.
ISBN 9783030728199 (electronic bk.)
3030728196 (electronic bk.)
9783030728182
3030728188
DOI https://doi.org/10.1007/978-3-030-72819-9
Published Cham : Springer, 2021.
Language English
Description 1 online resource (264 pages)
Other Standard Identifiers 10.1007/978-3-030-72819-9 doi
Call Number QA276.45.R3 C67 2021
Dewey Decimal Classification 519.50285
Summary The goal of this book is to gather in a single document the most relevant concepts related to modern optimization methods, showing how such concepts 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).
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed August 11, 2021).
Series Use R!
Available in Other Form Modern Optimization with R.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Chapter 1. introduction
Chapter 2. R. Basics
Chapter 3. Blind Search
Chapter 4. Local Search
Chapter 5. Population Based Search
Chapter 6. Multi-Object Optimization.

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