Examples of using Optimization method in English and their translations into Portuguese
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The proposed evolutionary optimization method contains three steps: The sys….
The optimization method was performed using full factorial design and box-behnken matrix.
This an be a hieved using a non- onvex optimization method like the levenberg-marquardt al- gorithm.
The optimization method adds small changes to the wicket gate and runner blade opening.
This paper develops a stress-based topology optimization method for structures with mechanical properties of polypropylene.
The optimization method adopted in this work is the beso method bidirectional evolutionary structural optimization. .
The goal was to create a methodology to obtain weights in order to combine models based on the investment portfolio optimization method proposed by markowitz.
Topology optimization method applied to the design of transducers sonotrodos pie….
The genetic divergence among cowpea genotypes was estimated based on the mahalanobis distance,while the grouping was done by tocher optimization method and the hierarchical method upgma.
Topology optimization method applied to design channels considering non-newtonian….
To minimize transmission of vibration energy through the discharge tube, a methodology of optimization the geometric shape of thedischarge tube was used. geometric modifications were made using the genetic algorithms optimization method.
Secondly, the optimization method used might not be guaranteed to converge when far away from a local minimum.
This work aims to develop aweibull curve fitting methodology, using ant colony optimization method and the particle swarm optimization method as far as the hybridization of these.
Secondly, the optimization method used might not guarantee to converge when it begins far from any local minimum.
The genotypesshowed different responses in both experimental conditions. The genotypes formedthree groups when an UPGMA hierarchal method was applied to both system ofcultivation. Five andtwo groups were found when Tocher optimization method wasapplied to in ex vitro and in vitro data, respectively.
On this area, an optimization method is applied to find the best possible setting for the device under analysis.
Other studies about genetic divergence by, and,using the Tocher's optimization method, reported similar cluster pattern results for corn hybrids, cupuaçu access and rubber tree genotypes.
Title: optimization method for the determination of trichothecenes in wheat samples author: elisa rosa seus advisor: prof. dr.
An iterative non-linear constrained optimization method was used to optimize the production cost for an energy-efficient microturning process.
This optimization method was chosen due the advantages of flexibility in handling constraints and ease in dealing with discrete variables.
Coupling the results of these models to the particle swarm optimization method through the use of the response surface technique, it was possible to obtain optimized geometric parameters for different types of extended surface evaluated.
This optimization method was chosen due its capacity to deal properly with a large number of variables, whether they are continuous or discrete.
This study aimed obtain parameters for the viscosity predictive model unifac-visco using gradient descent as optimization method to model systems viscosity data representing the phases that can be formed in deterpenation processes for extraction liquid-liquid of bergamot, lemon and mint essential oils, using aqueous ethanol as solvente in different compositions at 25° c.
The shape optimization method was applied assuming three models for the geometric pro¿les:(1c) power-law,(2c-s) blu¿power-law and(2c-ns) blu¿shifted power-law.
This work presents an optimization method aiming to maximize the surge impedance loading of bundled transmission lines.
Global topographic optimization method is a clustering algorithm, which is based on the basic concepts of the graph theory, with the purpose of generating good starting points for the local search methods, based on uniformly distributed points within the feasible region.
This paper¿s objective is to implement the global topographic optimization method along with a robust and effective method of feasible directions by interior-points to optimization problems with linear and/ or non-linear equality and/ or inequality restrictions, which are feasible sets wit.
The topographical global optimization method is a clustering algorithm, which uses an ingenious approach based on elementary concepts of graph theory, in order to generate good starting points for local search methods, from points distributed uniformly in the interior of the feasible set.
This work aims to apply the topology optimization method, to¿nd the best distribution of material in a¿exible robotic arm, which maximize or minimize an objective function and meeting a pre-established volume restriction.
The customer portfolio optimization method was built to help managers to define the customer segments that should be the target of their marketing investments. its purpose is to indicate the customer portfolio composition that will provide the return, profitability and risk diversification desired by shareholders.