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Foundations of genetic algorithms 6 /
Papers presented at the 2000 Foundations of Genetic Algorithms (FOGA-6) sixth biennial workshop held in Charlottesville, VA.
| Call Number: | Libro Electrónico |
|---|---|
| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
San Francisco, CA :
Morgan Kaufmann Publishers,
[2001]
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| Edition: | First edition. |
| Series: | Morgan Kaufmann Series in Artificial Intelligence.
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| Subjects: | |
| Online Access: | Texto completo (Requiere registro previo con correo institucional) |
Table of Contents:
- Front Cover; Foundations of Genetic Algorithms6; Copyright Page; Contents; Chapter 1. Introduction; Chapter 2. Overcoming Fitness Barriers in Multi-Modal Search Spaces; Chapter 3. Niches in NK-Landscapes; Chapter 4. New Methods for Tunable, Random Landscapes; Chapter 5. Analysis of Recombinative Algorithms on a Non-Separable Building-Block Problem; Chapter 6. Direct Statistical Estimation of GA Landscape Properties; Chapter 7. Comparing Population Mean Curves; Chapter 8. Local Performance of the ((/(I, () -ES in a Noisy Environment.
- Chapter 9. Recursive Conditional Scheme Theorem, Convergence and Population Sizing in Genetic AlgorithmsChapter 10. Towards a Theory of Strong Overgeneral Classifiers; Chapter 11. Evolutionary Optimization through PAC Learning; Chapter 12. Continuous Dynamical System Models of Steady-State Genetic Algorithms; Chapter 13. Mutation-Selection Algorithm: A Large Deviation Approach; Chapter 14. The Equilibrium and Transient Behavior of Mutation and Recombination; Chapter 15. The Mixing Rate of Different Crossover Operators; Chapter 16. Dynamic Parameter Control in Simple Evolutionary Algorithms.
- Chapter 17. Local Search and High Precision Gray Codes: Convergence Results and NeighborhoodsChapter 18. Burden and Benefits of Redundancy; Author Index; Key Word Index.