Modern Optimization with R

Paulo Cortez (Autor)

Buch | Softcover

XVII, 254 Seiten

2021 | 2nd ed. 2021
Springer International Publishing (Verlag)
978-3-030-72818-2 (ISBN)

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The goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories 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.
This new edition integrates the latest R packages through text and code examples. It also discusses new topics, such as: the impact of artificial intelligence and business analytics in modern optimization tasks; the creation of interactive Web applications; usage of parallel computing; and more modern optimization algorithms (e.g., iterated racing, ant colony optimization, grammatical evolution).

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Paulo Cortez (Habilitation, PhD) is an Associate Professor (with tenure) at the Department of Information Systems, University of Minho, Portugal. He is also assistant director of the ALGORITMI R&D Centre. From 2012 to 2015, he was Vice-President of the Portuguese Association for Artificial Intelligence (www.appia.pt). Currently, he is Associate Editor of the journals Decision Support Systems and Expert Systems. His research, within the fields of decision support, data science, business analytics, machine learning, and modern optimization, has appeared in Journal of Heuristics, Decision Support Systems, Information Processing and Management, Information Sciences and others.

Chapter 1. introduction.- Chapter 2. R. Basics.- Chapter 3. Blind Search.- Chapter 4. Local Search.- Chapter 5. Population Based Search.- Chapter 6. Multi-Object Optimization.

Erscheinungsdatum	29.08.2021
Reihe/Serie	Use R!
Zusatzinfo	XVII, 254 p. 43 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	416 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Schlagworte	evolutionary computation • Metaheuristics • Particle swarm optimization • R statistical tool • Simulated annealing • Tabu Search
ISBN-10	3-030-72818-8 / 3030728188
ISBN-13	978-3-030-72818-2 / 9783030728182
Zustand	Neuware