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Beschreibung
The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objective/multi-objective, optimization under uncertainty) in a diverse range of application domains. Readers learn to solve large scale problems quickly and efficiently combining metaheuristics with complementary metaheuristics, mathematical programming, constraint programming and machine learning. Numerous real-world examples of problems and solutions demonstrate how hybrid metaheuristics are applied in such fields as networks, logistics and transportation, bio-medical, engineering design, scheduling.
Details
| Verlag | Springer Berlin |
| Ersterscheinung | 20. September 2014 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 727 Gramm |
| Format | Softcover |
| ISBN-13 | 9783642429057 |
| Seiten | 458 |