Hybrid metaheuristics / / El-Ghazali Talbi (ed.)

• Pubblicazione: Heidelberg ; ; New York, : Springer, c2013
• Edizione: 1st ed. 2013.
• Descrizione fisica: 1 online resource (XXVI, 458 p.)
• Disciplina: 006.3
• Soggetto topico: Mathematical optimization - Data processing; Computer algorithms
• Altri autori: TalbiEl-Ghazali <1965->
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and indexes.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Hybrid metaheuristics
• ISBN: 3-642-30671-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910437901003321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in computational intelligence ; ; v. 434.