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...
Cote: | Libro Electrónico |
---|---|
Auteur principal: | |
Format: | Électronique eBook |
Langue: | Inglés |
Publié: |
Cham, Switzerland :
Springer,
2017.
|
Collection: | Studies in computational intelligence ;
v. 679. |
Sujets: | |
Accès en ligne: | Texto completo |
Table des matières:
- 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.