Fireworks Algorithm

A Novel Swarm Intelligence Optimization Method

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Éditeur :

Springer


Paru le : 2015-10-11



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Description
This book is devoted to the state-of-the-art in all aspects of fireworks algorithm (FWA), with particular emphasis on the efficient improved versions of FWA. It describes the most substantial theoretical analysis including basic principle and implementation of FWA and modeling and theoretical analysis of FWA. It covers exhaustively the key recent significant research into the improvements of FWA so far. In addition, the book describes a few advanced topics in the research of FWA, including multi-objective optimization (MOO), discrete FWA (DFWA) for combinatorial optimization, and GPU-based FWA for parallel implementation. In sequels, several successful applications of FWA on non-negative matrix factorization (NMF), text clustering, pattern recognition, and seismic inversion problem, and swarm robotics, are illustrated in details, which might shed new light on more real-world applications in future. Addressing a multidisciplinary topic, it will appeal to researchers and professionals in the areas of metahuristics, swarm intelligence, evolutionary computation, complex optimization solving, etc.
Pages
323 pages
Collection
n.c
Parution
2015-10-11
Marque
Springer
EAN papier
9783662463529
EAN PDF
9783662463536

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
9830 Ko
Prix
94,94 €
EAN EPUB
9783662463536

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
4813 Ko
Prix
94,94 €

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