Applications of Firefly Algorithm and its Variants

Case Studies and New Developments

Nilanjan Dey (Hrsg.)

PDF
ca. 149,79
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Springer Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

Beschreibung

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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Schlagwörter

Firefly Algorithm, Convolutional Neural Network, Optimization Methodology, algorithm analysis and problem complexity, Nature-inspired Computing, Optimization, Meta-heuristics