Fireworks Algorithm: A Novel Swarm Intelligence Optimization Method
Ying Tan
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Description for Fireworks Algorithm: A Novel Swarm Intelligence Optimization Method
Hardcover. Num Pages: 323 pages, 102 black & white illustrations, biography. BIC Classification: TJFM1; UYA; UYQ. Category: (P) Professional & Vocational. Dimension: 247 x 167 x 24. Weight in Grams: 678.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2015
Publisher
Springer
Condition
New
Number of Pages
323
Place of Publication
Berlin, Germany
ISBN
9783662463529
SKU
V9783662463529
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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