William M. Spears
Springer Berlin Heidelberg
2000e druk, 2000
9783540669500
Evolutionary Algorithms
The Role of Mutation and Recombination
Specificaties
Gebonden, 222 blz.
|
Engels
Springer Berlin Heidelberg |
2000e druk, 2000
ISBN13: 9783540669500
Rubricering
Onderdeel van serie
Natural Computing Series
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
Despite decades of work in evolutionary algorithms, there remains an uncertainty as to the relative benefits and detriments of using recombination or mutation. This book provides a characterization of the roles that recombination and mutation play in evolutionary algorithms. It integrates important prior work and introduces new theoretical techniques for studying evolutionary algorithms. Consequences of the theory are explored and a novel method for comparing search and optimization algorithms is introduced. The focus allows the book to bridge multiple communities, including evolutionary biologists and population geneticists.
Specificaties
ISBN13:9783540669500
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:222
Uitgever:Springer Berlin Heidelberg
Druk:2000
Hoofdrubriek:Automatisering algemeen, Computer en informatica
Serie:Natural Computing Series
Inhoudsopgave
I. Setting the Stage.- 1. Introduction.- 2. Background.- II. Static Theoretical Analyses.- 3. A Survival Schema Theory for Recombination.- 4. A Construction Schema Theory for Recombination.- 5. Survival and Construction Schema Theory for Recombination.- 6. A Survival Schema Theory for Mutation.- 7. A Construction Schema Theory for Mutation.- 8. Schema Theory: Mutation versus Recombination.- 9. Other Static Characterizations of Mutation and Recombination.- III. Dynamic Theoretical Analyses.- 10. Dynamic Analyses of Mutation and Recombination.- 11. A Dynamic Model of Selection and Mutation.- 12. A Dynamic Model of Selection, Recombination, and Mutation.- 13. An Aggregation Algorithm for Markov Chains.- IV. Empirical Analyses.- 14. Empirical Validation.- V. Summary.- 15. Summary and Discussion.- Appendix: Formal Computations for Aggregation.- References.