Nature-Inspired algorithms for optimisation

Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficie...

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Autore principale: Chiong, Raymond
Altri autori: Kacprzyk, Janusz, 1947- (Direttore editoriale), Chiong, Raymond, 19..- (Direttore editoriale)
Natura: Livre numérique
Lingua:Anglais
Pubblicazione: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edizione:1st ed. 2009.
Serie:Studies in Computational Intelligence 193
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Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Nature-Inspired Algorithms for Optimisation, Texte imprimé, 9783642002663
• Nature-Inspired Algorithms for Optimisation, Texte imprimé, 9783642003608
• Nature-Inspired Algorithms for Optimisation, Texte imprimé, 9783642101304
• Nature-Inspired Algorithms for Optimisation, Texte imprimé, 9783642002663
Descrizione
Riassunto:Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured by their ability to find acceptable results within a reasonable amount of time, rather than an ability to guarantee the optimal solution. This volume 'Nature-Inspired Algorithms for Optimisation' is a collection of the latest state-of-the-art algorithms and important studies for tackling various kinds of optimisation problems. It comprises 18 chapters, including two introductory chapters which address the fundamental issues that have made optimisation problems difficult to solve and explain the rationale for seeking inspiration from nature. The contributions stand out through their novelty and clarity of the algorithmic descriptions and analyses, and lead the way to interesting and varied new applications
Descrizione del documento:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783642002670
ISSN:1860-9503
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