58 citations · 65 across the 3 of their papers we have counts for
5 papers
A general mathematical framework for constrained mixed-variable blackbox optimization problems with meta and categorical variables
Charles Audet, Edward Hallé-Hannan, Sébastien Le Digabel
A mathematical framework for modelling constrained mixed-variable optimization problems is presented in a blackbox optimization context. The framework introduces a new notation and…
Use of static surrogates in hyperparameter optimization
Dounia Lakhmiri, Sébastien Le Digabel
Optimizing the hyperparameters and architecture of a neural network is a long yet necessary phase in the development of any new application. This consuming process can benefit from…
Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates
Kwassi Joseph Dzahini, Michael Kokkolaras, Sébastien Le Digabel
This work introduces the StoMADS-PB algorithm for constrained stochastic blackbox optimization, which is an extension of the mesh adaptive direct-search (MADS) method originally de…
Tight-and-cheap conic relaxation for the AC optimal power flow problem
Christian Bingane, Miguel F. Anjos, Sébastien Le Digabel
The classical alternating current optimal power flow problem is highly nonconvex and generally hard to solve. Convex relaxations, in particular semidefinite, second-order cone, con…
Tight-and-cheap conic relaxation for the optimal reactive power dispatch problem
Christian Bingane, Miguel F. Anjos, Sébastien Le Digabel
The optimal reactive power dispatch (ORPD) problem is an alternating current optimal power flow (ACOPF) problem where discrete control devices for regulating the reactive power, su…