Metaheuristics for Hard Optimization Methods and Case Studies /

Metaheuristics for Hard Optimization comprises of three parts. The first part is devoted to the detailed presentation of the four most widely known metaheuristics: • the simulated annealing method, • tabu search, • the evolutionary algorithms, • ant colony algorithms. Each one of these metaheuristic...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Dréo, Johann (Autor), Pétrowski, Alain (Autor), Siarry, Patrick (Autor), Taillard, Eric (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Temas:
Mathematical optimization.
Operations research.
Artificial intelligence.
Engineering mathematics.
Engineering-Data processing.
Industrial Management.
Control engineering.
Robotics.
Automation.
Optimization.
Operations Research and Decision Theory.
Artificial Intelligence.
Mathematical and Computational Engineering Applications.
Control, Robotics, Automation.
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