Nature-Inspired Algorithms and Applied Optimization

 
 
Springer (Verlag)
  • erschienen am 15. August 2018
 
  • Buch
  • |
  • Softcover
  • |
  • 344 Seiten
978-3-319-88465-3 (ISBN)
 
This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.
Softcover reprint of the original 1st ed. 2018
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • Für Beruf und Forschung
  • 28 farbige Abbildungen, 100 farbige Tabellen, 14 s/w Abbildungen
  • |
  • 100 Tables, color; 28 Illustrations, color; 14 Illustrations, black and white; XI, 330 p. 42 illus., 28 illus. in color.
  • Höhe: 235 mm
  • |
  • Breite: 155 mm
  • |
  • Dicke: 18 mm
  • 520 gr
978-3-319-88465-3 (9783319884653)
10.1007/978-3-319-67669-2
weitere Ausgaben werden ermittelt
Mathematical Analysis of Nature-Inspired Algorithms.- A Review of No Free Lunch Theorems, and their Implications for Metaheuristic Optimisation.- Global Convergence Analysis of Cuckoo Search Using Markov Theory.- On Effeciently Solving the Vehicle Routing Problem with Time Windows Using the Bat Algorithm.- Variants of the Flower Pollination Algorithm: A Review.
"This book presents recent developments in nature-inspired algorithms and optimization and includes many case studies. ... The contributing authors are experts in the field from various parts of the world. This highly recommended book--a snapshot of recent research in the field of nature-inspired algorithms--would be a useful reference work for its intended audience." (S. V. Nagaraj, Computing Reviews, September, 2018)
"The book is rich with relevant illustrations and real-life/practical problems, where the various topics are or can be applied. The book is a comprehensive and in-depth study, and the style of presentation is remarkable. These aspects make reading this book an absolute delight." (Sudev Naduvath, Computing Reviews, August, 2018)
 
"This book presents recent developments in nature-inspired algorithms and optimization and includes many case studies. ... The contributing authors are experts in the field from various parts of the world. This highly recommended book--a snapshot of recent research in the field of nature-inspired algorithms--would be a useful reference work for its intended audience." (S. V. Nagaraj, Computing Reviews, September, 2018)
"The book is rich with relevant illustrations and real-life/practical problems, where the various topics are or can be applied. The book is a comprehensive and in-depth study, and the style of presentation is remarkable. These aspects make reading this book an absolute delight." (Sudev Naduvath, Computing Reviews, August, 2018)
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