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Applications of Firefly Algorithm an...
~
Dey, Nilanjan.
Applications of Firefly Algorithm and its Variants = Case Studies and New Developments /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Applications of Firefly Algorithm and its Variants/ edited by Nilanjan Dey.
Reminder of title:
Case Studies and New Developments /
other author:
Dey, Nilanjan.
Description:
XIII, 266 p. 97 illus., 71 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Algorithms. -
Online resource:
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 Variants
Case Studies and New Developments /[electronic resource] :edited by Nilanjan Dey. - 1st ed. 2020. - XIII, 266 p. 97 illus., 71 illus. in color.online resource. - 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:
527865
Algorithms.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Applications of Firefly Algorithm and its Variants = Case Studies and New Developments /
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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.
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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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