Methods and Case Studies
Buch, Englisch, 372 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1590 g
ISBN: 978-3-540-23022-9
Verlag: Springer Berlin Heidelberg
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 metaheuristics is actually a family of methods, of which the essential elements are discussed. In the second part, the book presents some other less widespread metaheuristics, then, extensions of metaheuristics and some ways of research are described . The problem of the choice of a metaheuristic is posed and solution methods are discussed. The last part concentrates on three case studies from telecommunications, air traffic control, and vehicle routing.
Zielgruppe
Research
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Mathematik | Informatik Mathematik Operations Research Spieltheorie
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
- Technische Wissenschaften Technik Allgemein Betriebswirtschaft für Ingenieure
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
Weitere Infos & Material
Presentation of the Main Metaheuristics.- Simulated Annealing.- Tabu Search.- Evolutionary Algorithms.- Ant Colony Algorithms.- Variants, Extensions and Methodological Advices.- Some Other Metaheuristics.- Extensions.- Methodology.- Case Studies.- Optimization of UMTS Radio Access Networks with Genetic Algorithms.- Genetic Algorithms Applied to Air Traffic Management.- Constraint Programming and Ant Colonies Applied to Vehicle Routing Problems.
