Hybrid Metaheuristics

20 septembre 2014|
Hybrid Metaheuristics de El-Ghazali Talbi
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Couverture souple
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description

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.

Part I Hybrid metaheuristics for mono and multi-objective optimization, and optimization under uncertainty.- Part II Combining metaheuristics with (complementary) metaheuristics.- Part III Combining metaheuristics with exact methods from mathematical programming approaches.- Part IV Combining metaheuristics with constraint programming ...
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Titre :Hybrid Metaheuristics
Format :Couverture souple
Dimensions de l'article :458 pages, 9.25 X 6.1 X 0 po
Dimensions à l'expédition :458 pages, 9.25 X 6.1 X 0 po
Publié le :20 septembre 2014
Publié par :Springer-Verlag/Sci-Tech/Trade
Langue :anglais
Convient aux âges :Tous les âges
ISBN - 13 :9783642429057

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