[PDF] Top 20 Multilevel image threshold selection based on the shuffled frog leaping algorithm
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Multilevel image threshold selection based on the shuffled frog leaping algorithm
... the shuffled for leaping optimization through observing, imitating and modeling the behavior of frogs searching for food laid on the discrete stones randomly located in a ...meta-heuristic algorithm ... See full document
7
SFLA Based Gene Selection Approach for Improving Cancer Classification Accuracy
... gene selection algorithm based on Shuffled Frog Leaping Algorithm that is called ...proposed algorithm is used for improving cancer classification ...Therefore, ... See full document
8
Lung Image Classification using Hill Climbing Approach on Gabore Filter Optimization
... feature selection through Minimum Redundancy Maximum Relevance (MRMR) and the results are classified by the Instance Based Learning (IBL) and Random Forest (RF) ...the image is done through feature ... See full document
7
Modified Shuffled Frog Leaping Algorithm by adaptive Step Size: Applications to Constraint Engineering Design Problems
... search algorithm that is inspired by Darwin’s natural selection theory ...(DE) based on the crossover and selection operators similar to GA [3], Ant colony optimization (ACO) work on the ... See full document
6
A New Method Based On Modified Shuffled Frog Leaping Algorithm In Order To Solve Nonlinear Large Scale Problem
... is based on the social behavior of birds [3], Ant Colony Optimization (ACO) which draws inspiration from the behavior of ants to find the food [4], Honey Bee Mating Optimization Algorithm (HBMO) which is ... See full document
6
Mixed Kernel Twin Support Vector Machines Based on the Shuffled Frog Leaping Algorithm
... The selection of the kernel function will directly affect the performance of the ...the algorithm to a certain ...Machines based on the shuffled frog leaping ...This ... See full document
9
Comparison of Evolutionary Optimization Techniques for Unconstrained
... the selection of a best element from some set of available ...evolutionary based technique introduced in the literature was the genetic ...developed based on the Darwinian principle of the „survival ... See full document
12
Machining Parameters Selection for Milling Operations Using Shuffled Frog-Leaping Algorithm
... is based on evolution of memes carried by interactive individuals and a global exchange of information among the ...this algorithm, frogs are seen as hosts for memes and described as a memetic ...each ... See full document
10
Hybrid Tabu Shuffled Frog Leaping Algorithm for Multipath Quality Route Selection Routing In High Mobility Network
... Singh et al., [11] had presented the Genetic oriented QoS Multicast Routing (GA-QMR) algorithm. These wireless nodes identified in the MANETs will come with the sparse resources like a limited lifetime of the ... See full document
7
An Improved Shuffled Frog Leaping Algorithm with Single Step Search Strategy and Interactive Learning Rule for Continuous Optimization
... and selection method; Teaching-Learning-based Optimization algorithm [9][10][11][12] which imitates the process of the teaching about teacher and students; Shuffled frog leaping ... See full document
9
A Comparison of Fast Kurtogram and SFLA based ED Techniques for Bearing Fault Detection
... The algorithm contains the elements of the local search and global information ...individual frog holds ideas that can be influenced by the ideas of other frogs, and the ideas can evolve through a process ... See full document
7
Optimal Capacitor Placement in 69-Bus RDS Using Shuffled Frog Leaping Algorithm
... To illustratethe performance of the proposed SFLA method, it was tested on a 69-bus RDS and the results have been obtained to evaluate its effectiveness. It was programmed in MATLAB environment and run on a Pentium IV, ... See full document
7
STUDIES ON IMPROVING TEXTURE SEGMENTATION PERFORMANCE USING GENERALIZED GAUSSIAN MIXTURE MODEL INTEGRATING DCT AND LBP
... Software Defect Prediction (SDP) focuses on the detection of system modules such as files, methods, classes, components and so on which could potentially consist of a great amount of errors. SDP models refer to those ... See full document
10
Optimal placement of distributed generation in distribution systems by using Shuffled Frog Leaping Algorithm
... shuffled frog-leaping algorithm (SFLA) has been developed for solving combinatorial optimization problems ...The algorithm contains elements of local search and global information ...The ... See full document
6
A Highly Secure Digital Image Transfer Using Chaotic Logistic Map
... new image encryption method that uses secret communication using Steganography using chaotic logistic map encryption method is ...message image to extracted image is maximum and MSE (Mean Square ... See full document
8
Dynamic Parameter Identification of UP6 Robot Manipulator using SFLA
... The knowledge of the dynamic parameters of the manipulator play an important role in designing model-based algorithms for controlling robot exactly, the validation of the simulation results and the accuracy of the ... See full document
6
Improved Frog Leaping Algorithm Using Cellular Learning Automata
... new algorithm which is the result of combination of cellular learning automata (CLA) and shuffled frog leap algorithm (SFLA) is proposed for optimization of functions in continuous, static ... See full document
6
EDUCATIONAL MODELLING IN CLOUD COMPUTING USING IMS LEARNING DESIGN
... The plots from Fig.1 and Fig. 2 shows that the number of iterations consumed by the SFLA algorithm is 30000 iteration and for CSA it is 2000 iterations to attain the convergence of the UC problem. The cost ... See full document
8
Application of Phase Congruency n the Image Segmentation of Greige Defects
... contour based on the phase consistency, and the contour extraction results of dilute weft, hole and tight end are respectively shown as in Figure 9, Figure ...the image segmentation method based on ... See full document
8
Tsallis Entropy In Bi-level And Multi-level Image Thresholding
... of threshold t, is maximized and the corresponding gray level t is considered to be the optimum threshold ...this threshold is depending on q ...royalty-free image cameraman.jpg. In the same ... See full document
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