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Applications of Firefly algorithm an...

Dey, Nilanjan.

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Applications of Firefly algorithm and its variants = case studies and new developments /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applications of Firefly algorithm and its variants/ edited by Nilanjan Dey.
其他題名:	case studies and new developments /
其他作者:	Dey, Nilanjan.
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	xiii, 266 p. :ill. (some col.), digital ;24 cm.
內容註:	Firefly Algorithm and its Variants in Digital Image Processing: A Comprehensive Review -- Development of firefly algorithm interface for parameter optimization of electrochemical based machining processes -- A Firefly Algorithm-based Approach for Identifying Coalitions of Energy Providers that Best Satisfy the Energy Demand -- Structural damage identification using adaptive hybride volutionary Firefly algorithm -- An automated approach for developing a Convolutional Neural Network using a modified Firefly algorithm for Image Classification.
Contained By:	Springer eBooks
標題:	Swarm intelligence. -
電子資源:	https://doi.org/10.1007/978-981-15-0306-1
ISBN:	9789811503061

Applications of Firefly algorithm and its variants = case studies and new developments /
Applications of Firefly algorithm and its variantscase studies and new developments /[electronic resource] :edited by Nilanjan Dey. - Singapore :Springer Singapore :2020. - xiii, 266 p. :ill. (some col.), digital ;24 cm. - Springer tracts in nature-inspired computing,2524-552X. - Springer tracts in nature-inspired computing..

Firefly Algorithm and its Variants in Digital Image Processing: A Comprehensive Review -- Development of firefly algorithm interface for parameter optimization of electrochemical based machining processes -- A Firefly Algorithm-based Approach for Identifying Coalitions of Energy Providers that Best Satisfy the Energy Demand -- Structural damage identification using adaptive hybride volutionary Firefly algorithm -- An automated approach for developing a Convolutional Neural Network using a modified Firefly algorithm for Image Classification.

The book discusses advantages of the firefly algorithm over other well-known metaheuristic algorithms in various engineering studies. The book provides a brief outline of various application-oriented problem solving methods, like economic emission load dispatch problem, designing a fully digital controlled reconfigurable switched beam nonconcentric ring array antenna, image segmentation, span minimization in permutation flow shop scheduling, multi-objective load dispatch problems, image compression, etc., using FA and its variants. It also covers the use of the firefly algorithm to select features, as research has shown that the firefly algorithm generates precise and optimal results in terms of time and optimality. In addition, the book also explores the potential of the firefly algorithm to provide a solution to traveling salesman problem, graph coloring problem, etc.

ISBN: 9789811503061

Standard No.: 10.1007/978-981-15-0306-1doiSubjects--Topical Terms:

577800
Swarm intelligence.

LC Class. No.: Q337.3 / .A675 2020

Dewey Class. No.: 006.3824

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520 $a The book discusses advantages of the firefly algorithm over other well-known metaheuristic algorithms in various engineering studies. The book provides a brief outline of various application-oriented problem solving methods, like economic emission load dispatch problem, designing a fully digital controlled reconfigurable switched beam nonconcentric ring array antenna, image segmentation, span minimization in permutation flow shop scheduling, multi-objective load dispatch problems, image compression, etc., using FA and its variants. It also covers the use of the firefly algorithm to select features, as research has shown that the firefly algorithm generates precise and optimal results in terms of time and optimality. In addition, the book also explores the potential of the firefly algorithm to provide a solution to traveling salesman problem, graph coloring problem, etc.
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