Parameter Optimization
Parameter optimization of a multiscale descriptor for shape analysis on healthcare image datasets
... the parameter optimization is essential to achieve the best performance of a multiscale descriptor in retrieval and classification experiments for a specific ...that parameter optimization may ...
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Differential Evolution Enhanced with Eager Random Search for Solving Real-Parameter Optimization Problems
... Abstract—Differential evolution (DE) presents a class of evo- lutionary computing techniques that appear effective to handle real parameter optimization tasks in many practical applications. However, the ...
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On the evaluation of cost functions for parameter optimization of a multiscale shape descriptor
... The optimization methodology introduced in [5] applies metaheuristic techniques and the Silhouette cluster metric [6] as a cost function for parameter optimization of a multiscale shape ...for ...
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Studies on Parameter Optimization for Particle Growthin a Fluidized BedGranulator: Interval Halving Method
... classical optimization techniques are there based on what is to be ...parameters, optimization method is classified into two principal categories such as (a) Single-Variable Optimization and (b) ...
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Parameter optimization for pesticide multiresidue determination using SPME in water samples.
... PARAMETER OPTIMIZATION FOR PESTICIDE MULTIRESIDUE DETERMINATION USING SPME IN WATER SAMPLES. In this study the factors that affect the extraction of pesticide residues from water samples for their ...
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An Improved Bees Algorithm for Real Parameter Optimization
... swarm optimization algorithm in which the swarms are regrouped frequently and the Quasi- Newton method is employed to improve the local search ...real parameter genetic algorithm with parent centric normal ...
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Parameter Optimization during Finish End Milling of Al Alloy 5083 using Robust Design
... as quality indicators for end milling of Al 5083 multi- parameter investigation using design of experiments and statistical analysis. The experimental limits were designed in order for all the combinations ...
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Parameter Optimization: Force (F), Time (T) and Current Intensity (I), in the RSW Welding Process of DP-290 Steel Plates Using the Taguchi Method
... the optimization of input parameters to the process [4] ...[6] optimization of the parameters of the RSW process for SAE 1010 steel was studied using the Taguchi ...the optimization of the welding ...
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Parameter optimization for local polynomial approximation based intersection confidence interval filter using genetic algorithm: an application for brain MRI image de-noising
... Through the year 2003 [15], the authors suggested MRI image de-noising technique using adaptive wavelet thresholding. To amplify the significant features, this method multiplied the adjacent wavelet sub bands, and then ...
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A software for parameter optimization with Differential Evolution Entirely Parallel method
... Summary. Differential Evolution Entirely Parallel (DEEP) package is a software for finding unknown real and integer parameters in dynamical models of biological processes by minimizing one or even several objective ...
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Many-objective optimization with particle swarm optimization algorithm
... PID parameter tuning can collapse the system operation ( ˚ Astr¨ om and Haggl¨ und , 1988 ) and about 80% of the PID-type controllers in industries are poorly or less optimally tuned because of the inappropriate ...
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Nonlinear modeling and parameter identification for AUV dynamics.
... In this study, the relevant added-mass and propeller coefficients are identified as well as the lift and drag related coefficients. The “parallel processing” is adopted, while the “over and under” identification ...
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Optimization of Wood Supply: The Forestry Routing Optimization Model
... Optimization Model (FRoM). The activity to be carried out had the goal of transporting all the timber from 10 stands of Eucalyptus sp. The forest inventory had defined the total wood stock around 21,881.82 tons on ...
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A Bayesian framework for parameter estimation in dynamical models.
... and parameter estimation that is designed to handle uncertainties associated with the modeling of dynamic biological systems while remaining agnostic as to the type of model ...
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Hive on spark and MapReduce : a methodology for parameter tuning
... First, there is no “either/or” choice when we compare the big data processing frameworks Spark and MapReduce. Because with the Apache Hive Data Warehouse system you can easily switch between those two engines via a short ...
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WATER HARDNESS AS AN IMPORTANT PARAMETER OF PH
... Focus of our work was to monitor utilization of boiling water for beer production in mini brewery of SPU. Parameter of water hardness was selected as an important parameter and subsequently analyses of pH ...
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VLSI PARTITIONING ALGORITHM WITH ADAPTIVE CONTROL PARAMETER
... Proceedings of the 11th European conference on Evolutionary computation in combinatorial optimization. Modifications and additions to ant colony optimization to solve the set partitionin[r] ...
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Water Heaters Electrovalves: Improvement of Safety Parameter
... Figure 5.25 shows the impact that the shape of the castle has on the magnetic force felt by the plunger. The first, middle and last traces of Fig. Together these two graphs give us the s[r] ...
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Asymmetry parameter for the nonmesonic decay of 5LHe
... have been systematically neglected in the literature, namely, the kinematical effects due to the difference between the lambda and nucleon masses and the first-order nonlocality corrections [7]. We have also shown [5] ...
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eve cerfernandes Blind multipath MIMO channel parameter
... In this paper, we focus on the problem of blind multipath channel parameter estimation, assuming that the impulse re- sponse of the convolutive MIMO channel model has been previously estimated. Our main ...
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