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Details
Title
Modern optimization with R / Paulo Cortez.
Author
Cortez, Paulo, author.
ISBN
9783319082639 (electronic book)
3319082639 (electronic book)
9783319082622
3319082639 (electronic book)
9783319082622
Published
Cham : Springer, [2014]
Copyright
©2014
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-319-08263-9 doi
Call Number
QA276.45.R3
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.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (viewed Sep. 18, 2014).
Series
Use R!
Available in Other Form
Print version: 9783319082622
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Table of Contents
1. Introduction
2. R Basics
3. Blind Search
4. Local Search
5. Population-Based Search
6. Multi-Objective Optimization
7. Applications.
2. R Basics
3. Blind Search
4. Local Search
5. Population-Based Search
6. Multi-Objective Optimization
7. Applications.