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An Introduction to Harmony Search Optimization Method / / by Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger



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Autore: Wang Xiaolei Visualizza persona
Titolo: An Introduction to Harmony Search Optimization Method / / by Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Edizione: 1st ed. 2015.
Descrizione fisica: 1 online resource (93 p.)
Disciplina: 006.3
Soggetto topico: Computational intelligence
Artificial intelligence
Mathematical optimization
Computational Intelligence
Artificial Intelligence
Optimization
Persona (resp. second.): GaoXiao-Zhi
ZengerKai
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index at the end of each chapters.
Nota di contenuto: Introduction -- The Overview of Harmony Search -- Harmony Search in Context with Other Nature-inspired Computational Algorithms -- The Variations of Harmony Search and Its Current Research Trends -- The Hybrid Strategies of Harmony Search in Optimization Problem Solving -- Conclusions.
Sommario/riassunto: This brief provides a detailed introduction, discussion and bibliographic review of the nature1-inspired optimization algorithm called Harmony Search. It uses a large number of simulation results to demonstrate the advantages of Harmony Search and its variants and also their drawbacks. The authors show how weaknesses can be amended by hybridization with other optimization methods. The Harmony Search Method with Applications will be of value to researchers in computational intelligence in demonstrating the state of the art of research on an algorithm of current interest. It also helps researchers and practitioners of electrical and computer engineering more generally in acquainting themselves with this method of vector-based optimization.
Titolo autorizzato: An Introduction to Harmony Search Optimization Method  Visualizza cluster
ISBN: 3-319-08356-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299848103321
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Serie: SpringerBriefs in Computational Intelligence, . 2625-3704