國立虎尾科技大學 |

Fireworks Algorithm = A Novel Swarm Intelligence Optimization Method /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Fireworks Algorithm/ by Ying Tan.
其他題名:	A Novel Swarm Intelligence Optimization Method /
作者:	Tan, Ying.
面頁冊數:	XXXIX, 323 p. 102 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1007/978-3-662-46353-6
ISBN:	9783662463536

Fireworks Algorithm = A Novel Swarm Intelligence Optimization Method /
Tan, Ying.

Fireworks Algorithm A Novel Swarm Intelligence Optimization Method /[electronic resource] :by Ying Tan. - 1st ed. 2015. - XXXIX, 323 p. 102 illus.online resource.

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

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

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Fireworks Algorithm = A Novel Swarm Intelligence Optimization Method /
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