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Recent advances in simulated evolution and learning /
Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances in the theories, algorithms, and applications...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore ; River Edge, NJ :
World Scientific,
©2004.
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| Colección: | Advances in natural computation ;
v. 2. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Preface ; PART 1: Evolutionary Theory ; Chapter 1: Co-Evolutionary Learning in Strategic Environments ; Chapter 2: Using Evolution to Learn User Preferences ; Chapter 3: A Parallel Genetic Algorithm for Clustering.
- Chapter 4: Using SIMD Genetic Programming for Fault-Tolerant Trading Strategies Chapter 5: An Efficient Coevolutionary Algorithm Based on Merging and Splitting of Species ; Chapter 6: Schema Analysis of Genetic Algorithms on Multiplicative Landscape.
- Chapter 7: Evolutionary Learning Strategies for Artificial Life Characters Chapter 8: Adaptive Strategy for GA Inspired by Biological Evolution ; Chapter 9: The Influence of Stochastic Quality Functions on Evolutionary Search.