Hybrid metaheuristics:

<p>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, optim...

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Weitere Verfasser: Talbi, El-Ghazali 1965- (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Berlin [u.a.] Springer 2013
Schriftenreihe:Studies in computational intelligence 434
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Abstract
Zusammenfassung:<p>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.</p>
Beschreibung: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
Beschreibung:1 Online-Ressource
ISBN:9783642306716
DOI:10.1007/978-3-642-30671-6