Modern optimization with R

Bibliographische Detailangaben

Titel
Modern optimization with R
verantwortlich
Cortez, Paulo (VerfasserIn)
Ausgabe
Second edition
veröffentlicht
Cham: Springer, [2021]
© 2021
Erscheinungsjahr
2021
Teil von
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Medientyp
Buch
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Zusammenfassung
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.
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. 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). .
Umfang
xvii, 254 Seiten; Illustrationen, Diagramme
Sprache
Englisch
Schlagworte
RVK-Notation
  • Mathematik
    • Monografien
      • Lineare und Nichtlineare Optimierung
  • Informatik
    • Monografien
      • Einzelne Anwendungen der Datenverarbeitung
        • Datenverarbeitung in Anwendungsgebieten
          • Mathematik, Statistik
            • Einzelne Systeme (alphabetisch)
  • Informatik
    • Monografien
      • Software und -entwicklung
        • Programmiersprachen
          • Einzelne Programmiersprachen (A-Z)
BK-Notation
54.53 Programmiersprachen
31.73 Mathematische Statistik
ISBN
9783030728182