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Applications of Firefly algorithm an...

Dey, Nilanjan.

Applications of Firefly algorithm and its variantscase studies and new developments /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applications of Firefly algorithm and its variantsedited by Nilanjan Dey.
Reminder of title:	case studies and new developments /
other author:	Dey, Nilanjan.
Published:	Singapore :Springer Singapore :2020.
Description:	xiii, 266 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Swarm intelligence.
Online resource:	https://doi.org/10.1007/978-981-15-0306-1
ISBN:	9789811503061$q(electronic bk.)

Applications of Firefly algorithm and its variantscase 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$q(electronic bk.)

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

237730
Swarm intelligence.

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

Dewey Class. No.: 006.3824

Applications of Firefly algorithm and its variantscase studies and new developments /
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245 0 0 $a Applications of Firefly algorithm and its variants $h [electronic resource] : $b case studies and new developments / $c edited by Nilanjan Dey.
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300 $a xiii, 266 p. : $b ill. (some col.), digital ; $c 24 cm.
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505 0 $a 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.
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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950 $a Intelligent Technologies and Robotics (Springer-42732)