Skip to main content
SpringerLink
Log in
Book cover

Modern Optimization with R

  • Book
  • © 2014

Overview

Authors:
  1. Paulo Cortez

    1. Department of Information Systems, University of Minho, Guimarães, Portugal

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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

Part of the book series: Use R! (USE R)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (7 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Introduction

    • Paulo Cortez
    Pages 1-9

  3. R Basics

    • Paulo Cortez
    Pages 11-30

  4. Blind Search

    • Paulo Cortez
    Pages 31-43

  5. Local Search

    • Paulo Cortez
    Pages 45-61

  6. Population Based Search

    • Paulo Cortez
    Pages 63-98

  7. Multi-Objective Optimization

    • Paulo Cortez
    Pages 99-117

  8. Applications

    • Paulo Cortez
    Pages 119-147

  9. Back Matter

    Pages 149-174
    Download chapter PDF
Back to top

Keywords

About this book

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.

Authors and Affiliations

  • Department of Information Systems, University of Minho, Guimarães, Portugal

    Paulo Cortez

About the author

Paulo Cortez is an associate professor in the Department of Information Systems at the University of Minho, Portugal. 

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation