Sébastien Le Digabel
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69 results — page 4 of 4
NOMAD is software that implements the MADS algorithm (Mesh Adaptive Direct Search) for black-box optimization under general nonlinear constraints. Black-box ...
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This work analyzes constrained black box optimization in which the functions defining the problem are periodic with respect to some or all the variables. We ...
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<p>The class of Mesh Adaptive Direct Search (MADS) algorithms is designed for the optimization of constrained black-box problems. The purpose of this paper i...
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We consider one of the most important issues for multinationals, the determination of transfer prices. To do so, we examine the example of a multinational co...
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The purpose of this paper is to introduce a new way of choosing directions for the Mesh Adaptive Direct Search (MADS) class of algorithms. The advantages of...
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This paper describes a Parallel Space Decomposition (PSD) technique for the Mesh Adaptive Direct Search (MADS) algorithm. MADS extends Generalized Pattern ...
BibTeX referenceNonsmooth Optimization through Mesh Adaptive Direct Search and Variable Neighborhood Search
This paper proposes a way to combine the Mesh Adaptive Direct Search (MADS) algorithm, which extends the Generalized Pattern Search (GPS) algorithm, with th...
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We present an exact algorithm and three applications of nonconvex quadratically constrained quadratic programming. First, we consider the pooling problem fro...
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The pooling problem, which is fundamental to the petroleum industry, describes a situation where products possessing different attribute qualities are mixed...
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