Metaheuristics for Hard Optimization
Methods and Case Studies
(Sprache: Englisch)
Contains case studies from engineering and operations research
Includes commented literature for each chapter This text presents a family of advanced methods of optimization called Metaheuristics.
It covers a range of topics including simulated annealing,...
Includes commented literature for each chapter This text presents a family of advanced methods of optimization called Metaheuristics.
It covers a range of topics including simulated annealing,...
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Contains case studies from engineering and operations research
Includes commented literature for each chapter This text presents a family of advanced methods of optimization called Metaheuristics.
It covers a range of topics including simulated annealing, tabu search, evolutionary and genetic algorithms, and ant colony optimization. The book contains various case studies from engineering and operations research, and includes commented literature for each chapter.
Includes commented literature for each chapter This text presents a family of advanced methods of optimization called Metaheuristics.
It covers a range of topics including simulated annealing, tabu search, evolutionary and genetic algorithms, and ant colony optimization. The book contains various case studies from engineering and operations research, and includes commented literature for each chapter.
Klappentext zu „Metaheuristics for Hard Optimization “
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.
Inhaltsverzeichnis zu „Metaheuristics for Hard Optimization “
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.
Bibliographische Angaben
- Autoren: Johann Dréo , Alain Pétrowski , Patrick Siarry , Eric Taillard
- 2010, XII, 372 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Übersetzer: A. Chatterjee
- Verlag: Springer, Berlin
- ISBN-10: 364206194X
- ISBN-13: 9783642061943
Sprache:
Englisch
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