Nature-Inspired Optimizers: Theories, Literature Reviews and Applications (Studies in Computational Intelligence)

ISBN 10: 3030121291 / ISBN 13: 9783030121297

Verlag: Springer, 2020

Beschreibung

Bestandsnummer des Verkäufers I-9783030121297

Bibliografische Details

• Titel: Nature-Inspired Optimizers: Theories, Literature Reviews and Applications (Studies in Computational Intelligence)
• Verlag: Springer
• Erscheinungsjahr: 2020
• Sprache: Englisch
• ISBN-10: 3030121291
• ISBN-13: 9783030121297
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

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.

Von der hinteren Coverseite

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.