[PDF] Top 20 A Robust and Efficient Evolutionary Algorithm based on Probabilistic Model
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A Robust and Efficient Evolutionary Algorithm based on Probabilistic Model
... the algorithm is studied from the perspective of the probability of the optimum and the most probable solution, novel insights can be ...the algorithm that we have considered, which are the structural ... See full document
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Near Optimal Robust Adaptive Beamforming Approach Based on Evolutionary Algorithm
... From the null-response constraints expression, we need to estimate the interferences’ DOA. The key idea pursued here is to utilize the fact that the beamformer’s response still forms nulls at the interferences’ DOA ... See full document
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An Efficient and Robust Multi Object Recognition and Tracking Algorithm using Mask Region based Convolution Neural Network (R CNN)
... Every individual color circle indicates a tracklet, and every eclipse including two tracklets represents a node in the graph. An edge is used to share the identical tracklet. Intrinsic associations are used among ... See full document
7
Robust Classification of Primary Brain Tumor in MRI Images Based on Multi Model Textures Features and Kernel Based SVM
... kernel based Support Vector ...is efficient for the classification of the human brain into normal and ...proposed algorithm graph is good at detecting the tumors in the brain MRI ... See full document
8
Multi Knapsack Model of Collaborative Portfolio Configurations in Multi Strategy Oriented
... the model and method which can fulfill the target which makes the organizing strategical value the most based on the share and rational allocation of ...of evolutionary generation are shown in Figure ... See full document
8
Integrated Detection, Tracking and Recognition for IR Video-based Vehicle Classification
... a robust and adaptive appearance model and mixtures of probabilistic principal component ...and probabilistic kernel PCA yields tracking ...and robust system for surveillance or ... See full document
8
AN UNCERTAIN COMPLEX EVENT PROCESSING METHOD BASED ON MNFA.
... detect probabilistic complex ...the probabilistic-based data model and related queries, in-depth studies are required to detect interest event in uncertainty event streams and probability ... See full document
7
Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms
... and probabilistic model-based algorithm, namely: k-means, k-medoids and EM-algorithm on structured data are explored with a view to revealing how accurate each algorithm could ... See full document
6
Determining the Optimal Stock Portfolio in Tehran Stock Exchange Based on Multi-Objective Evolutionary Algorithm with ϵ Error Level (ϵ-MOEA)
... programming model for portfolio selection which was, in fact, a combination of compromise programming and chance constrained programming models ...generating efficient frontiers with two or three objective ... See full document
6
Novel Radial Basis Function Neural Networks based on Probabilistic Evolutionary and Gaussian Mixture Model for Satellites Optimum Selection
... The Probabilistic Evolutionary (PE) and Gaussian Mixture - of Gradient Descent (GD) in terms of the input feature ...RBFNN based on novel PE algorithm has been proposed which has a soft ... See full document
11
An Invisible, Reversible, Robust and Efficient Image Watermarking Algorithm Based on Adaptive Prediction Method
... In this paper, Adaptive Prediction Error Expansion based watermarking is proposed which focus on hiding and extracting the data inside a cover image. Prediction Error Expansion is used for detecting the edge ... See full document
5
A Review of Audio Fingerprinting and Comparison of Algorithms
... Audio fingerprinting is best known for its ability to link unclassified or unlabeled audio to corresponding meta-data (e.g. artist and song name), regardless of the format the audio clip is stored as. [2] Essentially, ... See full document
7
A Self-organizing Wireless Sensor Networks Based on Quantum Ant Colony Evolutionary Algorithm
... networks based on Quantum Ant Colony Evolutionary Algorithm (QACEA) is put ...colony evolutionary algorithm proposed in this paper can effectively improve the target coverage of ... See full document
12
Image Denoising Model Based on Wiener Filter and a Novel Wavelet
... restoration is experienced in numerous down to earth applications. For example, mutilation because of Gaussian noise can be caused by low quality image obtaining, images saw in a noisy situation or noise intrinsic in ... See full document
11
CLASSIFICATIONS, ASSESSMENTS AND CHARACTERISTICS AS FACTORS TOWARDS ANALYZING ORGANIZATIONAL KNOWLEDGE
... As a Multi-Objective Optimization Problems (MOOP), the solution of the bi-objective GVRP is a non-dominated solution from an optimal Pareto front [8]. Elitist multi-objective genetic algorithms represents a class of ... See full document
11
A robust and versatile signal-on fluorescence sensing strategy based on SYBR Green I dye and graphene oxide
... A robust and universal fluorescence sensing strategy was proposed to detect genes and metal ions. The principle of the assay relied on target-based turn-on fluorescence of SGI, which induced the formation ... See full document
10
The Application of Evolutionary Algorithms for Energy Efficient Grooming of Scheduled Sub-Wavelength Traffic Demands in Optical Networks
... Genetic Algorithms (GAs) are the most common of evolutionary algorithms. Generally, a population of candidate solutions to an optimization problem is evolved towards better solutions. Each solution has a set of ... See full document
93
Pump scheduling optimization for water supply system using adaptive weighted sum genetic algorithm
... the algorithm and then the results of the multi-Objective optimization for the model under ...Genetic Algorithm with Fixed and the Random Weighted-sum ... See full document
24
A probabilistic examplar based model
... algorithms Although, the proposed model in this thesis usesa multiply connected Bayesian determine best the to network exemplars, the probability propagation method in... is it facilitat[r] ... See full document
162
Solving Travelling Salesman Problem with an Improved Hybrid Genetic Algorithm
... Double-bridge [14] random mutation operator is used to maintain the diversity of the population in HGA. It perturbs the original individual and increases the probability of generating better offspring through randomly ... See full document
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