Modern Optimization with R
Springer International Publishing (Verlag)
978-3-030-72818-2 (ISBN)
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 |
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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 |
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 |
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