Modern Optimization with R
1st Edition
Published on 6. September 2014
XIII, 188 pages
978-3-319-08263-9 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Primary & secondary/elementary & high school
Product notice
Reflowable
Illustrations
XIII, 188 p. 33 illus.
File size
3,17 MB
ISBN-13
978-3-319-08263-9 (9783319082639)
DOI
10.1007/978-3-319-08263-9
Schweitzer Classification
Other editions
New editions
Paulo Cortez
Modern Optimization with R
E-Book
07/2021
2nd Edition
Springer
€96.29
Available for download
Additional editions
Paulo Cortez
Modern Optimization with R
Book
09/2014
Springer
€69.54
Article exhausted; check for reprint
Person
Paulo Cortez is an associate professor in the Department of Information Systems at the University of Minho, Portugal.
Content
1. Introduction.- 2. R Basics.- 3. Blind Search.- 4. Local Search.- 5. Population-Based Search.- 6. Multi-Objective Optimization.- 7. Applications.
