Buch, Englisch, 92 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 347 g
Buch, Englisch, 92 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 347 g
Reihe: Studies in Computational Intelligence
ISBN: 978-3-319-52155-8
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.