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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...
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| Corporate Author: | |
| Format: | e-Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing :
2017.
Imprint: Springer, |
| Edition: | 1st ed. 2017. |
| Series: | Studies in Computational Intelligence,
679 |
| Subjects: | |
| Online Access: | Full-text access |
Table of Contents:
- 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.