ENGLISH

Genetic Algorithm Essentials

By Oliver Kramer (auth.)

Book information

Publisher
Springer International Publishing
Year
2017
ISBN
978-3-319-52155-8, 978-3-319-52156-5
DOI
10.1007/978-3-319-52156-5
Language
english
Format
PDF
Filesize
2 MB (2483274 bytes)
Series
Studies in Computational Intelligence 679
Edition
1
Pages
IX, 92\94
Time added
2017-02-20 14:56:08
Computational Intelligence;Artificial Intelligence

Description

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.

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