1.

Record Nr.

UNINA9910437901003321

Titolo

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

Pubbl/distr/stampa

Heidelberg ; ; New York, : Springer, c2013

ISBN

3-642-30671-3

Edizione

[1st ed. 2013.]

Descrizione fisica

1 online resource (XXVI, 458 p.)

Collana

Studies in computational intelligence, , 1860-949X ; ; 434

Altri autori (Persone)

TalbiEl-Ghazali <1965->

Disciplina

006.3

Soggetti

Mathematical optimization - Data processing

Computer algorithms

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

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.