Genetic algorithm essentials
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 over...
Saved in:
| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Cham, Switzerland :
Springer,
2017.
|
| Series | Studies in computational intelligence ;
v. 679. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9783319521565 9783319521558 |
| ISSN | 1860-949X ; |
| Physical Description | 1 online resource (ix, 92 pages) : color illustrations |
Cover
| Summary: | 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. |
|---|---|
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9783319521565 9783319521558 |
| ISSN: | 1860-949X ; |
| Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty |
| Physical Description: | 1 online resource (ix, 92 pages) : color illustrations |