Nature-Inspired Optimizers
Theories, Literature Reviews and Applications
(Sprache: Englisch)
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...
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Klappentext zu „Nature-Inspired Optimizers “
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.
Inhaltsverzeichnis zu „Nature-Inspired Optimizers “
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
Bibliographische Angaben
- 2019, 1st ed. 2020, XVI, 238 Seiten, 101 farbige Abbildungen, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben: Seyedali Mirjalili, Jin Song Dong, Andrew Lewis
- Verlag: Springer, Berlin
- ISBN-10: 3030121267
- ISBN-13: 9783030121266
- Erscheinungsdatum: 03.04.2019
Sprache:
Englisch
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