Examples of using Optimization algorithms in English and their translations into Portuguese
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Optimization algorithms and self-organized criticality.
It consists in the use of optimization algorithms coupled to simulation software.
Optimization algorithms have local, global and multimodal search features.
Development and evaluation of optimization algorithms for the fulfillment of cloud….
The optimization algorithms allow to identify the solutions that are in the Border Pareto.
Thus, any improvement in the performance of optimization algorithms generate great impact in solving various problems.
Optimization algorithms are known to have a wide range of applications in various areas of knowledge.
Prescriptive analysis, that typically encompasses optimization algorithms, simulation tools, and Group Support Systems, for example.
Three optimization algorithms are compared, in which one obtains better performance is selected for further use.
Many authors show the feasibility of using packet optimization algorithms with specific methods for solving real problems.
Jl: Optimization algorithms in pure Julia, and auxiliary tools for benchmarking, profiling and creating your own solver.
It also features fast charging support, intelligent battery optimization algorithms and an upgraded S Pen with air gesture support.
Development of optimization algorithms on tensor manifolds exploiting their fiber bundle structures GeM Institute.
The differential evolution(de) algorithms are powerful evolutionary optimization algorithms, originally proposed for problems in continuous spaces.
Matheuristics are optimization algorithms made by the interoperation of metaheuristics and mathematical programming(MP) techniques.
Artificial neural networks andhybrid systems which are made from neural networks combined with optimization algorithms are already used for this purpose and have satisfactory results.
Usually numerical optimization algorithms are applied to determine the best-fitting parameters.
As a result, rule based systems can support high-performance computation,especially if they take advantage of optimization algorithms and compilation.
Understand more complex statistical optimization algorithms like gradient descent and its application to linear regression Download.
Ant colony optimization(ACO), introduced by Dorigo in his doctoral dissertation, is a class of optimization algorithms modeled on the actions of an ant colony.
Airlines use sophisticated optimization algorithms to decide ticket prices, airplane and crew assignments and fuel needs.
The computational platform was built using the numerical calculation software matlab and dedicated optimization algorithms associated with the software of optical modeling systems zemax.
A fast coordination tool and three optimization algorithms were proposed to generate suitable solutions to the problem.
One of the main factors for this interest are the advances and accessibility of computers andthe development of numerical models and optimization algorithms for solving such problems.
The difference between the two fields arises from the goal of generalization: while optimization algorithms can minimize the loss on a training set, machine learning is concerned with minimizing the loss on unseen samples.
VAIF implements many different machine learning, optimization and artificial intelligence techniques, such as neural networks,Bayesian optimization algorithms, genetic programming and others.
The original methodology used the brute force optimization algorithm associated with some heuristics.
Other modification in the original methodology refers to the energy function optimization algorithm.
For the application of this methodology an optimization algorithm was developed.
In this work the optimization algorithm known as cuckoo search via lévy flights was applied in the parameters estimation of non-linear systems.