Metaheuristics for Hard Optimization
Methods and Case Studies
(Sprache: Englisch)
Contains case studies from engineering and operations research
Includes commented literature for each chapter
Includes commented literature for each chapter
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Contains case studies from engineering and operations researchIncludes commented literature for each chapter
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.
- 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.
Inhaltsverzeichnis zu „Metaheuristics for Hard Optimization “
- Presentation of the Main Metaheuristics- Tabu Search
- The Evolutionary Algorithms
- Ant Colony Algorithms
- Some Other Metaheuristics
- Extensions
- Modeling Techniques and Methods Comparison
- Case Study No. 1: Optimization of UMTS Wireless Networks through Genetic Algorithms
- Case Study No. 2: Genetic Algorithms Applied to the Management of Air Traffic
- Case Study No. 3: Constraint Programming and Ant Colonies: Application to Vehicle Routing Problems.
Bibliographische Angaben
- Autoren: Johann Dréo , Alain Pétrowski , Patrick Siarry
- 2005, 372 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Übersetzung:Chatterjee, A.
- Herausgegeben: A. Chatterjee
- Übersetzer: A. Chatterjee
- Verlag: Springer
- ISBN-10: 354023022X
- ISBN-13: 9783540230229
- Erscheinungsdatum: 24.11.2005
Sprache:
Englisch
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