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Hybrid Metaheuristics 2013 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 458 pages, kõrgus x laius: 235x155 mm, kaal: 7256 g, XXVI, 458 p., 1 Paperback / softback
  • Sari: Studies in Computational Intelligence 434
  • Ilmumisaeg: 20-Sep-2014
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 364242905X
  • ISBN-13: 9783642429057
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Hybrid Metaheuristics 2013 ed.Suurem pilt
  • Formaat: Paperback / softback, 458 pages, kõrgus x laius: 235x155 mm, kaal: 7256 g, XXVI, 458 p., 1 Paperback / softback
  • Sari: Studies in Computational Intelligence 434
  • Ilmumisaeg: 20-Sep-2014
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 364242905X
  • ISBN-13: 9783642429057
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783642429057.html
Märksõnad:

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.



This book provides a complete background for designing and implementing hybrid metaheuristics to solve complex optimization problems - continuous/discrete, mono-objective/multi-objective, optimization under uncertainty - in a wide range of application domains.

Arvustused

From the book reviews:

Hybrid Metaheuristics is an excellent manuscript for a reader who wants to understand state-of-the-art hybrid metaheuristics and their applications. this book could be a source of inspiration for those looking for new procedures for hybridizing metaheuristics and new application areas for metaheuristic techniques. a good reference for researchers, practitioners, and students of operations research or computer science who want to have a complete view of metaheuristics and the process of obtaining new procedures by hybridization. (Javier Faulin, Interfaces, Vol. 44 (5), September-October, 2014)

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 approaches.- Part V Combining metaheuristics with machine learning and data mining techniques.