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By so proceeding, we avoid the systematic use of optimization algorithms such as fmincon on images that do not pertain to the test class.
Two methods are proposed for the identification of the unbalance characteristics: the first is based on modal expansion combined with the use of optimization algorithms, while the second relates to the use of modal expansion technique applied to the inverse problem.
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Under the first criterion, researchers have used different kinds of optimization algorithms to solve site layout planning problems.
Convergence of optimization algorithms used in predicting protein-DNA or protein-RNA binding sites is a common concern due to a number of parameters to be fitted in model.
Considering all papers, all kinds of optimization algorithms were used to solve problems related to Testing.
Figure 1 presents the number of SBSE papers that use some kind of optimization algorithm per SE area.
They usually go straight to the final step after the conceptual design and finalize the structural configuration using some sort of optimization algorithm.
Therefore, the direct use of traditional optimization algorithms, which often require a large number of evaluations, may be prohibitive.
In order to overcome these difficulties we made use of global optimization algorithms, showing their efficiency for the MINLP problem resultant of the monoobjective formulation of the design.
Generative design systems coupled with objective functions can be efficiently explored through the use of stochastic optimization algorithms, such as genetic algorithms.
The tuning of such complex simulation models 'by hand' to match patient data is not feasible, and thus we present an automated approach based on the use of global optimization algorithms and high-performance computing.
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