The Firefly
The Firefly Optimization Algorithm: Convergence Analysis and Parameter Selection
... The bio-inspired optimization techniques have obtained great attention in recent years due to its robustness, simplicity and efficiency to solve complex optimization problems. The firefly Optimization (FA or FFA) ...
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Fortunes of the firefly: Sciascia's art of detection
... It is the latter characteristic which is the object of this study, for which I shall examine in particular the five novels, Il giorno della civetta, 1961 The Day Of The Owl, A ciascuno i[r] ...
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A Comparison of Transmitter and Synephrine on Luminescence Induction in the Firefly Larva
... The pharmacological effects of neural transmitter and synephrine are compared with respect to induction of luminescence in extirpated larval firefly lanterns.. Transmitter and synephrine[r] ...
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An Optimal Filter to Reduce BER Utilizing RLS and Firefly
... An extended filter mechanism utilizing SI and SVM has been implemented for random data initialized before passing it to the channel and optimized using FFSI. A new fitness function is proposed which considers the light ...
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Firefly Algorithm Based Data Hiding Technique
... The best locations for embedding are found using firefly algorithm. Since number of best locations is equal to the numbers of characters in the secret message, N (i.e. Number of fireflies for the firefly ...
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A Firefly based improved clustering algorithm
... the firefly optimization algorithm based clustering algorithm is followed for cluster data ...the firefly algorithm is ...traditional firefly algorithm is ...
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Research on Optimization and Application of Firefly Algorithm Based on Cloudsim
... a firefly algorithm, which is a new intelligent optimization method, and the luminous properties of fireflies are a biological ...feature. Firefly algorithm is a process, which is based on the brightness of ...
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Packet processing engine with firefly scheduling in green networking
... The firefly algorithm (FA) is a meta heuristic algorithm, inspired by the flashing behavior of ...fireflies. Firefly-based algorithms for scheduling task graphs and job shop scheduling requires less ...
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Performance comparison of firefly algorithm i...
... Rapid technological advancements are leading to a continuous reduction in integrated chip sizes. An additional steady increase in the chip density is resulting in device performance improvements as well as severely ...
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CONTOURLET TRANSFORM WITH FIREFLY ALGORITHM FOR DESPECKLING OF SAR IMAGES
... using Firefly Algorithm. The Firefly algorithm is applied to make the speedy convergence and avoid premature convergence in optimizing the ...of Firefly Algorithm and improved version may be adopted ...
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Firefly Algorithm Based SISO PID Controller
... the firefly formula, there ar 2 vital issues: the variation of sunshine intensity and formulation of the ...a firefly is set by its brightness that in turn is related to the encoded objective ...a ...
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Economic Dispatch Using Firefly Algorithm
... Two features are characteristics for swarm intelligence are self-organization and decentralized decision making. Here, autonomous individuals live together in a common place as, for example, bees in hives, ants in ...
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Electricity Generation Scheduling an Improved for Firefly Optimization Algorithm
... The output of FFO method in a test system (30C+4W) is compared among the results obtained for different population sizes say 10, 20, 30, 40 & 50. From this it is noted that the population size 10 led to the best ...
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Test Case Minimization Applying Firefly Algorithm
... In most cases, one testing path cannot achieve full coverage, as there may be many paths from several decision vertices, as shown in Table 3, where the sixth path achieves all-state and all-one-loop-path coverage, but ...
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A FIREFLY APPROACH FOR PRIORITIZING FUNCTIONAL AND NON FUNCTIONAL REQUIREMENTS
... the firefly algorithm is used to prioritize a set of FRs and NFRs and reduce the ...each firefly for ordered FRs and NFRs. The attractiveness of firefly is changed using equation (3) then move ...
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A New Variant Of Firefly Algorithm For Global Optimization
... The firefly algorithms depend primarily on the variation of light intensity and the formulation of ...Each firefly emits light and light emitted can be of any colour yellow, dark yellow, white ...A ...
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Stock Price Index Movement Prediction Using Adaptive Firefly Algorithm Based Association Rule Mining
... the firefly are extracted from class for developing class by applying firefly algorithm in order to select the fireflies that are very ...informative. Firefly algorithm is necessarily to be applied ...
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Adoption of M- Wallet: A way Ahead
... The firefly algorithm (FA) is an iterative algorithm. In each replication, the stego image block for each firefly is acquired by hiding r bits of confidential data in that firefly location. Once this ...
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Hybridized Firefly And Differential Evolution Optimization Algorithm Based Feature Selection For Disease Prediction
... diseases. Firefly Optimization Algorithm with Homogeneous Fuzzy Rule-Based Classification System (FOA-Homo-FRBCS) and FOA with Heterogeneous FRBCS (FOA- Hetro-FRBCS) were proposed for early prediction of lung ...
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Self Adaptive Firefly Algorithm for Economic Load Dispatch
... Abstract – Economic load dispatch (ELD) is an important operational problem of the power system, aiming to minimize the fuel cost. The firefly algorithm (FA), a heuristic numeric optimization algorithm inspired by ...
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