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Genetic Algorithm Essentials

(Autor)

Buch | Hardcover
IX, 92 Seiten
2017 | 1st ed. 2017
Springer International Publishing (Verlag)
9783319521558 (ISBN)

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Genetic Algorithm Essentials - Oliver Kramer
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This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations.
The book is divided into three parts, the first of which provides an introduction to GAs, starting with basic concepts like evolutionary operators and continuing with an overview of strategies for tuning and controlling parameters. In turn, the second part focuses on solution space variants like multimodal, constrained, and multi-objective solution spaces. Lastly, the third part briefly introduces theoretical tools for GAs, the intersections and hybridizations with machine learning, and highlights selected promising applications.

Part I: Foundations.- Introduction.- Genetic Algorithms.- Parameters.- Part II: Solution Spaces.- Multimodality.- Constraints.- Multiple Objectives.- Part III: Advanced Concepts.- Theory.- Machine Learning.- Applications.- Part IV: Ending.- Summary and Outlook.- Index.- References.

Erscheinungsdatum
Reihe/Serie Studies in Computational Intelligence
Zusatzinfo IX, 92 p. 38 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Artificial Intelligence • artificial intelligence (incl. robotics) • Computational Intelligence • Engineering • Engineering: general • Evolutionary Operators • Intelligent Systems • Introduction to GA • machine learning • Robotics • Solution Space Variants
ISBN-13 9783319521558 / 9783319521558
Zustand Neuware
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