Buch, Englisch, 328 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 663 g
Evolution Strategies, Evolutionary Programming, Genetic Algorithms
Buch, Englisch, 328 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 663 g
ISBN: 978-0-19-509971-3
Verlag: Oxford University Press
This book compares the three most prominent representatives of evolutionary algorithms - genetic algorithms, evolution strategies, and evolutionary programming - computational methods at the border between computer science and evolutionary biology. The algorithms are explained within a common formal framework, thereby clarifying the similarities and differences of these methods. The author also presents new results regarding the role of mutation and selection in genetic algorithms and uses a meta-evolutionary approach to confirm some of the theoretical results.
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Biowissenschaften Biowissenschaften Evolutionsbiologie
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
- Naturwissenschaften Astronomie Exobiologie, Astrobiologie, Xenobiologie
- Naturwissenschaften Biowissenschaften Biowissenschaften Exobiologie, Astrobiologie
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Soziobiologie
- Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten
Weitere Infos & Material
- Introduction
- Part I: A Comparison of Evolutionary Algorithms
- 1: Organic Evolution and Problem Solving
- 2: Specific Evolutionary Algorithms
- 3: Artificial Landscapes
- 4: An Empirical Comparison
- Part II: Extending Genetic Algorithms
- 5: Selection
- 6: Mutation
- 7: An Experiment in Meta-Evolution
- Summary and Outlook
- Appendix A: Data for the Fletcher-Powell Function
- Appendix B: Data from Selection Experiments
- Appendix D: The Multiprocessor Environment
- Appendix E: Mathematical Symbols
- Bibliography
- Index
