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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Detalles Bibliográficos
Autor principal: Rothlauf, Franz (-)
Autor Corporativo: SpringerLink (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg 2006.
Colección:Springer eBooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b37571357*spi
Tabla de Contenidos:
  • 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.