Sébastien Le Digabel

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The types of constraints encountered in black-box and simulation-based optimization problems differ significantly from those treated in nonlinear programmin...

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Various constrained problem formulations for the optimization of an electro-thermal wing anti-icing system in both running-wet and evaporative regimes are pr...

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The Mesh Adaptive Direct Search (MADS) algorithm is designed for blackbox optimization problems subject to general inequality constraints. Currently, MADS do...

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Constrained blackbox optimization is a difficult problem, with most approaches coming from the mathematical programming literature. The statistical literatur...

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Blackbox optimization deals with situations in which the objective function and constraints are typically computed by launching a time-consuming computer ...

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Typical challenges of simulation-based design optimization include unavailable gradients and unreliable approximations thereof, expensive function evaluation...

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This work introduces the use of the treed Gaussian process (TGP) as a surrogate model within the mesh adaptive direct search (MADS) framework for constrain...

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The Mesh Adaptive Direct Search (MADS) class of algorithms is designed for nonsmooth optimization, where the objective function and constraints are typical...

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We present ACRE, an Automatic aspeCt cREator, to use aspect-oriented programming to test multi-platform software programs written in C++. ACRE allows devel...

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We consider derivative-free optimization, and in particular black box optimization, where the functions to minimize and the functions representing the con...

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Accurate measurements of snow water equivalent (SWE) is an important factor in managing water resources for hydroelectric power generation. SWE over a catchm...

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During alloy and process design, it is often desired to identify regions of design or process variables for which certain calculated functions have optimal v...

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The present paper describes the coupling of the Mesh Adaptive Direct Search (MADS) algorithm with the FactSage thermochemical software, which allows to calcu...

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The paper proposes a framework for sensitivity analyses of blackbox constrained optimization problems for which Lagrange multipliers are not available. Two s...

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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 ...

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