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Modern Optimization with R

Paulo Cortez

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ISBN 10: 3319082620 / ISBN 13: 9783319082622
Editore: Springer-Verlag Gmbh Sep 2014, 2014
Nuovi Condizione: Neu Brossura
Da Rhein-Team Lörrach Ivano Narducci e.K. (Lörrach, Germania)

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Neuware - 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. 170 pp. Englisch. Codice inventario libreria 9783319082622

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Titolo: Modern Optimization with R

Casa editrice: Springer-Verlag Gmbh Sep 2014

Data di pubblicazione: 2014

Legatura: Taschenbuch

Condizione libro:Neu

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Riassunto:

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.

About the Author:

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

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