Hybrid Metaheuristics Powerful Tools for Optimization /

This book explains the most prominent and some promising new, general techniques that combine metaheuristics with other optimization methods. A first introductory chapter reviews the basic principles of local search, prominent metaheuristics, and tree search, dynamic programming, mixed integer linea...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Blum, Christian (Autor), Raidl, Günther R. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Artificial Intelligence: Foundations, Theory, and Algorithms,
Temas:
Artificial intelligence.
Computer science.
Computational intelligence.
Operations research.
Mathematical optimization.
Artificial Intelligence.
Theory of Computation.
Computational Intelligence.
Operations Research and Decision Theory.
Optimization.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Incomplete Solution Representations and Decoders
  • Hybridization Based on Problem Instance Reduction
  • Hybridization Based on Large Neighborhood Search
  • Making Use of a Parallel, Non-independent, Construction of Solutions Within Metaheuristics
  • Hybridization Based on Complete Solution Archives
  • Further Hybrids and Conclusions. .

Ejemplares similares