Sébastien Le Digabel
RetourCahiers du GERAD
59 résultats — page 3 de 3
Blackbox optimization deals with situations in which the objective function and constraints are typically computed by launching a time-consuming computer ...
référence BibTeX
Typical challenges of simulation-based design optimization include unavailable gradients and unreliable approximations thereof, expensive function evaluation...
référence BibTeX
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...
référence BibTeX
The Mesh Adaptive Direct Search (MADS) class of algorithms is designed for nonsmooth optimization, where the objective function and constraints are typical...
référence BibTeX
We present ACRE, an Automatic aspeCt cREator, to use aspect-oriented programming to test multi-platform software programs written in C++. ACRE allows devel...
référence BibTeXUse of quadratic models with mesh adaptive direct search for constrained black box optimization
We consider derivative-free optimization, and in particular black box optimization, where the functions to minimize and the functions representing the con...
référence BibTeX
Accurate measurements of snow water equivalent (SWE) is an important factor in managing water resources for hydroelectric power generation. SWE over a catchm...
référence BibTeX
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...
référence BibTeX
The present paper describes the coupling of the Mesh Adaptive Direct Search (MADS) algorithm with the FactSage thermochemical software, which allows to calcu...
référence BibTeX
The paper proposes a framework for sensitivity analyses of blackbox constrained optimization problems for which Lagrange multipliers are not available. Two s...
référence BibTeX
NOMAD is software that implements the MADS algorithm (Mesh Adaptive Direct Search) for black-box optimization under general nonlinear constraints. Black-box ...
référence BibTeX
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 ...
référence BibTeX
<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...
référence BibTeX
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...
référence BibTeX
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...
référence BibTeX
This paper describes a Parallel Space Decomposition (PSD) technique for the Mesh Adaptive Direct Search (MADS) algorithm. MADS extends Generalized Pattern ...
référence BibTeXNonsmooth 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...
référence BibTeX
We present an exact algorithm and three applications of nonconvex quadratically constrained quadratic programming. First, we consider the pooling problem fro...
référence BibTeX
The pooling problem, which is fundamental to the petroleum industry, describes a situation where products possessing different attribute qualities are mixed...
référence BibTeX