Modern Optimization with R by Paulo CortezModern Optimization with R by Paulo Cortez

Modern Optimization with R

byPaulo Cortez

Paperback | September 22, 2014

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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.
Paulo Cortez is an associate professor in the Department of Information Systems at the University of Minho, Portugal. 
Title:Modern Optimization with RFormat:PaperbackDimensions:188 pagesPublished:September 22, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319082620

ISBN - 13:9783319082622


Table of Contents

1. Introduction.- 2. R Basics.- 3. Blind Search.- 4. Local Search.- 5. Population-Based Search.- 6. Multi-Objective Optimization.- 7. Applications.