Representations for Genetic and Evolutionary Algorithms

In the field of genetic and evolutionary algorithms (GEAs), a large amount of theory and empirical study has focused on operators and test problems, while problem representation has often been taken as given. This book breaks away from this tradition and provides a comprehensive overview on the infl...

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Detalhes bibliográficos
Autor principal: Rothlauf, Franz
Formato: Livre numérique
Idioma:Anglais
Publicado em: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edição:Second Edition.
Acesso em linha:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Representations for Genetic and Evolutionary Algorithms, Texte imprimé, 9783540808206
• Representations for Genetic and Evolutionary Algorithms, Texte imprimé, 9783642064104
• Representations for genetic and evolutionary algorithms, Franz Rothlauf, 2nd edition, Heidelberg, Springer, 2006, 1 vol. (XVII-325 p.), 3-540-25059-X
Sumário:
  • Representations for Genetic and Evolutionary Algorithms Three Elements of a Theory of Representations Time-Quality Framework for a Theory-Based Analysis and Design of Representations Analysis of Binary Representations of Integers Analysis and Design of Representations for Trees Analysis and Design of Search Operators for Trees Performance of Genetic and Evolutionary Algorithms on Tree Problems Summary and Conclusions.