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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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Martin, W. N. (Worthy N.) (Editor ), Spears, William M., 1962- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Francisco, CA : Morgan Kaufmann Publishers, [2001]
Edición:First edition.
Colección:Morgan Kaufmann Series in Artificial Intelligence.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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250 |a First edition. 
264 1 |a San Francisco, CA :  |b Morgan Kaufmann Publishers,  |c [2001] 
264 4 |c ©2001 
300 |a 1 online resource (1 volume) :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a The Morgan Kaufmann Series in Artificial Intelligence 
588 0 |a Online resource; title from cover (Safari, viewed January 26, 2015). 
520 |a Papers presented at the 2000 Foundations of Genetic Algorithms (FOGA-6) sixth biennial workshop held in Charlottesville, VA. 
504 |a Includes bibliographical references and indexes. 
505 0 |a 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. 
505 8 |a 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. 
505 8 |a Chapter 17. Local Search and High Precision Gray Codes: Convergence Results and NeighborhoodsChapter 18. Burden and Benefits of Redundancy; Author Index; Key Word Index. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Genetic algorithms  |v Congresses. 
650 6 |a Algorithmes génétiques  |v Congrès. 
650 7 |a Genetic algorithms.  |2 fast  |0 (OCoLC)fst00939996 
655 7 |a Conference papers and proceedings.  |2 fast  |0 (OCoLC)fst01423772 
700 1 |a Martin, W. N.  |q (Worthy N.),  |e editor. 
700 1 |a Spears, William M.,  |d 1962-  |e editor. 
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830 0 |a Morgan Kaufmann Series in Artificial Intelligence. 
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