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Abstract: Several real-world applications introduce derivativefree optimization problems, called variable dimension problems, where the problem's dimension is not known in advance. Despite their ...
A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...
ABSTRACT: We consider shape and topological optimization problems for thermoelasticity. A model of thermoelasticity problem is first proposed before presenting the models for which a mathematical ...
A Benchmark of Kriging-Based Infill Criteria for Noisy Optimization (Victor Picheny et al., Structural and Multidisciplinary Optimization 2013) 📖 Scalable Test Problems for Evolutionary ...
This study introduced an efficient method for solving non-linear equations. Our approach enhances the traditional spectral conjugate gradient parameter, resulting in significant improvements in the ...
Laboratory of Physical Chemistry of Materials, Faculty of Sciences Ben M’Sick, Hassan II University of Casablanca, Casablanca 20670, Morocco ...
Derivatives market participants have renewed their focus on capital and margin optimization in response to the high cost of capital and the regulatory push toward central clearing, according to ...
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The paper presents a topology optimization methodology for 2D elastodynamic problems using the boundary element method (BEM). The topological derivative is derived based on the variation method and ...
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