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Fireworks algorithma novel swarm int...

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Fireworks algorithma novel swarm intelligence optimization method /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fireworks algorithmby Ying Tan.
Reminder of title:	a novel swarm intelligence optimization method /
Author:	Tan, Ying.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2015.
Description:	xxxix, 323 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Swarm intelligence.
Online resource:	http://dx.doi.org/10.1007/978-3-662-46353-6
ISBN:	9783662463536$q(electronic bk.)

Fireworks algorithma novel swarm intelligence optimization method /
Tan, Ying.

Fireworks algorithma novel swarm intelligence optimization method /[electronic resource] :by Ying Tan. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xxxix, 323 p. :ill., digital ;24 cm.

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 modelling 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 metaheuristics, swarm intelligence, evolutionary computation, complex optimization solving, etc.

ISBN: 9783662463536$q(electronic bk.)

Standard No.: 10.1007/978-3-662-46353-6doiSubjects--Topical Terms:

237730
Swarm intelligence.

LC Class. No.: Q337.3

Dewey Class. No.: 006.3

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520 $a 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 modelling 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 metaheuristics, swarm intelligence, evolutionary computation, complex optimization solving, etc.
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