Nature-Inspired Optimizers

Theories, Literature Reviews and Applications
1. Auflage 2020
ISBN: 978-3-030-12126-6
Verlag: Springer International Publishing

Buch, Englisch, Band 811, 238 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 553 g

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Mirjalili, Seyedali

Lewis, Andrew

Song Dong, Jin

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Technik Allgemein Bionik, Biomimetik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik

Inhaltsverzeichnis

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