Tuning parameters for the windowing algorithm
Tuning the Parameters of a Loading Algorithm
... The greedy construction incrementally constructs a solution. In each iteration, it decides which item to place where in the container and how. For the which-part, it selects an item from the items that have not been ...
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Fine-tuning algorithm parameters using the design of experiments approach
... parameter tuning algorithm, design of experiments, response surface ...an algorithm (Eiben et ...annealing algorithm is sensitive to the cooling factor, while a tabu search algorithm ...
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AR.Drone UAV control parameters tuning based on particle swarm optimization algorithm
... MOPSO algorithm is an effective method for optimal tuning of PID parameters in term of no overshoot, zero steady state error and extremely short setting time and rise ...proposed tuning method ...
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Tuning parameters in random forests
... The main assumption in (H1) is the additivity nature of the regression model [for details on additive models, see e.g. 18, 27]. Indeed, under (H1), all covariates X (1) , . . . , X (d) are independent and since Y is the ...
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Tuning the parameters of an artificial neural network using central composite design and genetic algorithm
... parameter tuning, because there is no definite and explicit method to select optimal parameters for the ANN ...identified parameters, by using the overall desirability ...Genetic Algorithm has ...
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African Buffalo Optimization Algorithm for Tuning Parameters of a PID Controller in Automatic Voltage Regulators
... metaheuristic tuning of the Proportional, Integral & Derivative (PID) Controller parameters of Automatic Voltage Regulators in electrical power generation and ...recently-designed algorithm, the ...
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Electrocardiogram Feature Extraction and Pattern Recognition Using a Novel Windowing Algorithm
... Keywords Electrocardiogram, PLI, Windowing, Arrhythmia, Intervals, Cardiac, PQRST 1. Introduction An electrocardiogram is a graph depicting the electrical activity generated by the depolarization and repolariza- ...
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Design of a nonlinear self tuning parameters algorithm for different types of PID controllers based on artificial intelligent
... nonlinear parameters neural network with PSO algorithm for MagLev system have been designed and simulated for different desired magnetic ball positions using Matlab package are presented in this ...
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Controller Tuning Algorithm For Mimo Processes
... Controller Tuning Algorithm for MIMO Processes”, International Journal of Current Research, CONTROLLER TUNING ALGORITHM FOR MIMO PROCESSES Government Polytechnic Ahmedabad-15, India which one ...
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Automated tuning of an algorithm for the vehicle routing problem
... Therefore, tuning does not add to the computation ...online tuning. In this case, tuning does add to the computation ...online tuning requires more computation time compared to solving the ...
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Multiscale Parameter Tuning of a Semantic Relatedness Algorithm
... The tuning process is controlled by a genetic algorithm using the Spearman’s rank coefficient as the fitness ...genetic algorithm has its own set of parameters which also need to be ...genetic ...
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Design and validation of a PID auto tuning algorithm
... auto-tuner algorithm based on specifications, which is generally valid for several ...derived algorithm is generally valid and can work well on several examples which are much more complex than second order ...
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Genetic Algorithm Based Self Tuning Regulator
... Each chromosome consists of three separate strings constituting a P, I and D term, as defined by the 3-row ‘bounds’ declaration when creating the population. When the chromosome enters the evaluation function, it is ...
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Parameter tuning of PI-controller with Bat algorithm
... parameter tuning of robotic ...of tuning should be employed. In this method, random parameters are entered into the robotic controller and according to mechanic re- sponse of manipulator little ...
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Optimal tuning of the hybrid Monte Carlo algorithm
... HMC is closely related to the so-called Metropolis-adjusted Langevin algorithm (MALA) [ 39 ], which uses the derivative of the log density to propose steepest-ascent moves in the state space. MALA uses Langevin ...
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Optimal tuning of the hybrid Monte Carlo algorithm
... HMC algorithm, previous works have already established the relevance of the choice h = O(d −1/4 ) (by heuristic arguments, see [ 11 ]) and an optimal acceptance probability of around ...optimal tuning of ...
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Tuning Range Image Segmentation by Genetic Algorithm
... of parameters in order to provide accurate results on a given class of ...Segmentation parameters are generally affected by the type of surfaces ...of parameters given a range image within a class and ...
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Design and tuning of an evolutionary multiobjective optimisation algorithm
... optimisation algorithm (EMOA) using the hypervolume measure within its selection ...the algorithm on three-objective ...efficient algorithm for the computation of the contributions to the dominated ...
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Optimization of PID Tuning Using Genetic Algorithm
... Genetic algorithm is a modern optimization technique that being studied by most researchers in searching the optimal PID ...Genetic algorithm can provide solutions for highly complex search space and ...
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Comfort Parameters Tuning For Vehicle Suspension Pitch Motion
... The aim of this project to analyze the comfort parameters for vehicle suspension tuning. This project will be focus on the 4 DOF of half car pitch plane ride model based on the vertical or pitch movement of ...
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