Nature-Inspired Optimizers - Theories, Literature Reviews and Applications

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

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

Zusammenfassung

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.

Produktdetails

• Mitarbeit: Andrew Lewis (Herausgeber), Seyedali Mirjalili (Herausgeber), Jin Song Dong (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 25.02.2019
• EAN: 9783030121266
• ISBN: 978-3-0-3012126-6
• Seiten: 238
• Abmessung: 160 mm x 243 mm x 20 mm
• Gewicht: 496 g
• Illustration: XVI, 238 p. 108 illus., 101 illus. in color.
• Serie: Studies in Computational Intelligence
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Allgemeines, Lexika; Optimierung, B, Regelungstechnik, Optimization, Artificial Intelligence, engineering, Control and Systems Theory, Computational Intelligence, Mathematical optimization, Control engineering, Automatic control engineering, Whale Optimization Algorithm, Optimized Controllers, Sine Cosine Algorithm, Controlling Parameter of Grey Wolf Optimizer, Swarm Algorithm in Extreme Learning Machine, Local Optima Stagnation