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Estimation of the Gilbert model parameters using the simulated annealing method

Estimation of the Gilbert model parameters using the simulated annealing method

... An estimation method based on the simulated annealing algorithm is proposed for computing the Gilbert model parameters from sample error sequences.. Experimental res[r] ... See full document

3

A computer method based on simulated annealing to identify aquifer parameters using pumping-test data

A computer method based on simulated annealing to identify aquifer parameters using pumping-test data

... novel method is developed based on simulated annealing (SA) integrated with aquifer draw- down equations to identify aquifer parameters of confined and unconfined aquifer ...systems. ... See full document

15

A simulated annealing heuristic for robotics assembly using the dynamic pick-and-place model

A simulated annealing heuristic for robotics assembly using the dynamic pick-and-place model

... on the TSP method; however, the TSP method focuses on the ® xed location solution and only considers the movement of robotics, but not the movement of boards ... See full document

9

Development of Kriging-approximation simulated annealing optimization algorithm for parameters calibration of porous media flow model

Development of Kriging-approximation simulated annealing optimization algorithm for parameters calibration of porous media flow model

... algorithm. The KASA algorithm uses Kriging approximation to avoid the evaluation of the complicated objective ...function. The proposed KASA algorithm applies Kriging approximation to ... See full document

12

Optimal design of minimum mean-square error noise reduction algorithms using the simulated annealing technique

Optimal design of minimum mean-square error noise reduction algorithms using the simulated annealing technique

... 2008兲 The performance of the minimum mean-square error noise reduction 共MMSE-NR兲 algorithm in conjunction with time-recursive averaging 共TRA兲 for noise estimation is found to be very sensitive ... See full document

10

Optimization of parameter design: an intelligent approach using neural network and simulated annealing

Optimization of parameter design: an intelligent approach using neural network and simulated annealing

... Optimization of parameter design: an intelligent approach using neural network and simulated annealing C HAO - T ON S U y * and H SU - H WA C HANG y Parameter design optimization problems have ... See full document

8

Trihalomethane species forecast using optimization methods: Genetic algorithms and simulated annealing

Trihalomethane species forecast using optimization methods: Genetic algorithms and simulated annealing

... management model using ...optimization of a water distribution network based on GA- based optimizers with ...on the EPANET source code. They applied this method on the New York ... See full document

10

Applying Particle Swarm Optimization to Parameter Estimation of the Nonlinear Muskingum Model

Applying Particle Swarm Optimization to Parameter Estimation of the Nonlinear Muskingum Model

... least-squares method 共LSM兲 to find the values of the three parameters in the nonlinear Muskingum ...parameter estimation using the Hook-Jeeves 共HJ兲 pattern ... See full document

4

Fast, Robust Motion Estimation Using Simulated Annealing

Fast, Robust Motion Estimation Using Simulated Annealing

... view of the fact that most image sequences only involve gentle movements, there exists high corre- lations among the motion vectors of the temporally and spatially adjacent ...blocks. ... See full document

7

Fast block motion estimation using adaptive simulated annealing

Fast block motion estimation using adaptive simulated annealing

... The lat- ter also explains that the proposed algorithm works in particular well for high-activity image sequences such as the “Flower” and “Football” sequences, f[r] ... See full document

4

SW—Soil and Water: Application of the Simulated Annealing Method to Agricultural Water Resource Management

SW—Soil and Water: Application of the Simulated Annealing Method to Agricultural Water Resource Management

... determine the most bene"cial crop patterns and water ...with the typical temporal and volumetric re- strictions on water ...computer-based model to simulate the climate}soil}plant systems with ... See full document

16

Doppler angle estimation using the AR spectrum model

Doppler angle estimation using the AR spectrum model

... Since only a small number of samples are used, the data acquisition time is significantly reduced and real-time two-dimensional Doppler angle estimation becomes feasible..[r] ... See full document

4

Optimization of electrodischarge machining parameters on ZrO2 ceramic using the Taguchi method

Optimization of electrodischarge machining parameters on ZrO2 ceramic using the Taguchi method

... with the EDM process such as material removal rate (MRR), electrode wear rate (EWR), and surface roughness (SR) were explored through the experimental study according to an L18 orthogonal array based on ... See full document

6

The influence of neuromuscular activation on the estimation of optimal muscle length using a muscle model

The influence of neuromuscular activation on the estimation of optimal muscle length using a muscle model

... Consequently, the variations in the joint torques pro- duced under different conditions might lead to statis- tical differences in the estimation of optimal muscle ...result of ... See full document

5

Identifying groundwater pumping source information using simulated annealing

Identifying groundwater pumping source information using simulated annealing

... Institute of Environmental Engineering, National Chiao Tung University, ...SA-MF using simulated annealing (SA) and a three-dimensional groundwater flow model (MODFLOW-2000) to ... See full document

10

Mental map preserving graph drawing using simulated annealing

Mental map preserving graph drawing using simulated annealing

... a simulated-annealing-based graph drawing algorithm, taking the mental map preser- vation into ...helps the user better preserve their mental maps in terms of preserving the ... See full document

20

OPTIMIZATION OF 2-DIMENSIONAL RADOME BORESIGHT ERROR PERFORMANCE USING SIMULATED ANNEALING TECHNIQUE

OPTIMIZATION OF 2-DIMENSIONAL RADOME BORESIGHT ERROR PERFORMANCE USING SIMULATED ANNEALING TECHNIQUE

... The problem is formulated as a global optimization procedure such that the radome performance is optimized by properly adjusting the thickness of the radome layer o[r] ... See full document

9

A simulated annealing algorithm to support the sensor placement for target location

A simulated annealing algorithm to support the sensor placement for target location

... In this paper, we develop an algorithm to cope with the sensor placement problem for target location under constraints of the cost limitation and the complete coverage.. We a[r] ... See full document

4

AN IDENTIFICATION METHOD FOR ESTIMATING THE INERTIA PARAMETERS OF A MANIPULATOR

AN IDENTIFICATION METHOD FOR ESTIMATING THE INERTIA PARAMETERS OF A MANIPULATOR

... This article presents an off-line identification method to estimate the minimal knowledge of the inertia parameters for determining the dynamic model of a manipulator.. A new approa[r] ... See full document

24

Using a hybrid genetic algorithm–simulated annealing algorithm for fuzzy programming of reservoir operation

Using a hybrid genetic algorithm–simulated annealing algorithm for fuzzy programming of reservoir operation

... Simulated annealing SA is analogous to the annealing process used in metallurgy, where a metal object is heated to near its melting temperature and then cooled ...state. The SA ... See full document

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