Genetic Algorithm Essentials

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Genetic Algorithm Essentials by Oliver Kramer, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Oliver Kramer ISBN: 9783319521565
Publisher: Springer International Publishing Publication: January 7, 2017
Imprint: Springer Language: English
Author: Oliver Kramer
ISBN: 9783319521565
Publisher: Springer International Publishing
Publication: January 7, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Genome Editing by Oliver Kramer
Cover of the book Integrated Management Systems by Oliver Kramer
Cover of the book New Trends in Craniovertebral Junction Surgery by Oliver Kramer
Cover of the book Political Power and Tribalism in Kenya by Oliver Kramer
Cover of the book International Conference on Security and Privacy in Communication Networks by Oliver Kramer
Cover of the book Rerouting Galician Studies by Oliver Kramer
Cover of the book Exploring Occupant Behavior in Buildings by Oliver Kramer
Cover of the book Twin Peaks for Europe: State-of-the-Art Financial Supervisory Consolidation by Oliver Kramer
Cover of the book Dynamics of Coupled Structures, Volume 4 by Oliver Kramer
Cover of the book Disciplining the Undisciplined? by Oliver Kramer
Cover of the book Security Standardisation Research by Oliver Kramer
Cover of the book The Marxian Legacy by Oliver Kramer
Cover of the book The Theory of Info-Dynamics: Rational Foundations of Information-Knowledge Dynamics by Oliver Kramer
Cover of the book Ethical Counselling and Medical Decision-Making in the Era of Personalised Medicine by Oliver Kramer
Cover of the book Building an Effective IoT Ecosystem for Your Business by Oliver Kramer
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy