Hybrid Metaheuristics An Emerging Approach to Optimization /

Optimization problems are of great importance in many fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. Examples of metaheuristics are simulated annealing, tabu search, evolutionary computation, iterated local search, variable neighborhood search, and ant co...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Blum, Christian (Editor ), Roli, Andrea (Editor ), Sampels, Michael (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Studies in Computational Intelligence, 114
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Hybrid Metaheuristics: An Introduction
  • Combining (Integer) Linear Programming Techniques and Metaheuristics for Combinatorial Optimization
  • The Relation Between Complete and Incomplete Search
  • Hybridizations of Metaheuristics With Branch & Bound Derivates
  • Very Large-Scale Neighborhood Search: Overview and Case Studies on Coloring Problems
  • Hybrids of Constructive Metaheuristics and Constraint Programming: A Case Study with ACO
  • Hybrid Metaheuristics for Packing Problems
  • Hybrid Metaheuristics for Multi-objective Combinatorial Optimization
  • Multilevel Refinement for Combinatorial Optimisation: Boosting Metaheuristic Performance.

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