Similar Search Results

Efficient solution of quadratically constrained quadratic subproblems within the mesh adaptive direct search algorithm

Amaioua, Nadir; Audet, Charles; Conn, Andrew R.; Le … - In: European journal of operational research : EJOR 268 (2018) 1, pp. 13-24

Persistent link: https://www.econbiz.de/10011813002

Performance indicators in multiobjective optimization

Audet, Charles; Bigeon, Jean; Cartier, Dominique; Le … - In: European journal of operational research : EJOR 292 (2021) 2, pp. 397-422

Persistent link: https://www.econbiz.de/10012502369

Hierarchically constrained blackbox optimization

Alarie, Stéphane; Audet, Charles; Jacquot, Paulin; Le … - In: Operations research letters 50 (2022) 5, pp. 446-451

Persistent link: https://www.econbiz.de/10013449409

A general mathematical framework for constrained mixed-variable blackbox optimization problems with meta and categorical variables

Audet, Charles; Hallé-Hannan, Edward; Le Digabel, … - In: Operations research forum 4 (2023) 1, pp. 1-37

Persistent link: https://www.econbiz.de/10014227118

Use of static surrogates in hyperparameter optimization

Lakhmiri, Dounia; Le Digabel, Sébastien - In: Operations research forum 3 (2022) 1, pp. 1-18

Persistent link: https://www.econbiz.de/10012819316

Computational study of valid inequalities for the maximum k-cut problem

Sousa, Vilmar Jefté Rodrigues de; Anjos, Miguel F.; Le … - In: Paths, pivots, and practice : the power of optimization, (pp. 5-27). 2018

Persistent link: https://www.econbiz.de/10011846408

Improving the linear relaxation of maximum k-cut with semidefinite-based constraints

Sousa, Vilmar Jefté Rodrigues de; Anjos, Miguel F.; Le … - In: EURO journal on computational optimization 7 (2019) 2, pp. 123-151

Persistent link: https://www.econbiz.de/10012111227

Preface to the special issue of INFOR on "continuous optimization and applications in machine learning and data analytics"

Anjos, Miguel F.; Bastin, Fabian; Le Digabel, Sébastien; … - In: INFOR : information systems and operational research 58 (2020) 2, pp. 167

Persistent link: https://www.econbiz.de/10012221401

Special issue on "continuous optimization and applications in machine learning and data analytics"

Anjos, Miguel F. (ed.); Bastin, Fabian (ed.); … - 2020

Persistent link: https://www.econbiz.de/10012221417

Linear equalities in blackbox optimization

Audet, Charles; Digabel, Sébastien Le; Peyrega, Mathilde - In: Computational Optimization and Applications 61 (2015) 1, pp. 1-23

<Para ID="Par1">The mesh adaptive direct search (<Emphasis Type="SmallCaps">Mads) algorithm is designed for blackbox optimization problems subject to general inequality constraints. Currently, <Emphasis Type="SmallCaps">Mads does not support equalities, neither in theory nor in practice. The present work proposes extensions to treat problems with linear equalities...</emphasis></emphasis></para>

Persistent link: https://www.econbiz.de/10011241253