Nature-Inspired Optimizers

Theories, Literature Reviews and Applications
 
 
Springer (Verlag)
  • erschienen am 10. März 2020
 
  • Buch
  • |
  • Softcover
  • |
  • XVI, 238 Seiten
978-3-030-12129-7 (ISBN)
 
This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.
1st ed. 2020
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • 101
  • |
  • 7 s/w Abbildungen, 101 farbige Abbildungen
  • Höhe: 23.5 cm
  • |
  • Breite: 15.5 cm
978-3-030-12129-7 (9783030121297)
10.1007/978-3-030-12127-3
weitere Ausgaben werden ermittelt
Preface.- Chapter 1. Introduction to Nature-inspired Algorithms.- Chapter 2. Ant Colony Optimizer: Theory, Literature Review, and Application in AUV Path Planning.-Chapter 3. Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Network.- Chapter 4. Dragon?y Algorithm: Theory, Literature Review, and Application in Feature Selection.- Chapter 5. Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction etc

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