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portada Fireworks Algorithm: A Novel Swarm Intelligence Optimization Method
Type
Physical Book
Publisher
Author
Language
English
Pages
323
Format
Paperback
ISBN13
9783662516188
Edition No.
1

Fireworks Algorithm: A Novel Swarm Intelligence Optimization Method

Ying Tan (Author) · Springer · Paperback

Fireworks Algorithm: A Novel Swarm Intelligence Optimization Method - Ying Tan

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Synopsis "Fireworks Algorithm: A Novel Swarm Intelligence Optimization Method"

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.

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