Andrew R. Conn

École Nationale de l’Aviation Civile — France

Mathematics · Physical Sciences

39h-index12.5kcitations120works0.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Advanced Optimization Algorithms Research(66), Optimization and Variational Analysis(24), Matrix Theory and Algorithms(16), Iterative Methods for Nonlinear Equations(15), Advanced Control Systems Optimization(14)

Publications120 total

The continuous quadrant penalty formulation of logical constraints
Open Journal of Mathematical Optimization·2023Open Access
Mixed-integer nonlinear and continuous optimization formulations for aircraft conflict avoidance via heading and speed deviations
European Journal of Operational Research·2023· 8 citedOpen Access
A derivative-free exact penalty algorithm: basic ideas, convergence theory and computational studies
Computational and Applied Mathematics·2022· 4 cited
An ADMM Based Framework for AutoML Pipeline Configuration
Proceedings of the AAAI Conference on Artificial Intelligence·2020· 52 citedOpen Access
Data from Nonlinear dynamics of a DEO (02-2019)
Bristol Research (University of Bristol)·2019Open Access
A progressive barrier derivative-free trust-region algorithm for constrained optimization
Computational Optimization and Applications·2018· 14 cited
Efficient solution of quadratically constrained quadratic subproblems within the mesh adaptive direct search algorithm
European Journal of Operational Research·2017· 16 cited
Solving aircraft conflicts by continuous optimization and mixed-integer nonlinear programming
HAL (Le Centre pour la Communication Scientifique Directe)·2017Open Access
A progressive barrier derivative-free trust-region algorithm for constrained optimization
PolyPublie (École Polytechnique de Montréal)·2016· 2 cited
Efficient solution of quadratically constrained quadratic subproblems within a direct-search algorithm
Les Cahiers du GERAD·2016· 3 cited
Reduced Space Dynamics-Based Geo-Statistical Prior Sampling for Uncertainty Quantification of End Goal Decisions
Springer proceedings in mathematics & statistics·2015· 1 cited
Reservoir Uncertainty Quantification Using Probabilistic History Matching Workflow
SPE Annual Technical Conference and Exhibition·2014· 25 cited
Decision Support for Daily Production Optimization: In Genuine Real-Time
2014· 2 cited
Lagrangian relaxation based decomposition for well scheduling in shale-gas systems
Computers & Chemical Engineering·2014· 34 citedOpen Access
Embedding structural information in simulation-based optimization
Computers & Chemical Engineering·2013· 17 cited
Adjoint-based History-Matching of Production and Time-lapse Seismic Data
2012· 16 cited
Integrating Mathematical Optimization and Decision Making in Intelligent Fields
SPE Intelligent Energy International·2012· 24 cited
Target-rate Tracking for Shale-gas Multi-well Pads by Scheduled Shut-ins
IFAC Proceedings Volumes·2012· 10 cited
Optimization of petroleum production networks – Through proxy models and structural constraints
IFAC Proceedings Volumes·2012· 3 cited
Bilevel derivative-free optimization and its application to robust optimization
Optimization methods & software·2011· 27 cited
page 1 of 6Next →

Frequent Co-authors

Philippe L. Toint(17), Nicholas I. M. Gould(15), Katya Scheinberg(7), L. N. Vicente(6), Richard H. Bartels(3), Thomas F. Coleman(3), Paul H. Calamai(3), Chandu Visweswariah(3), Gérard Cornuéjols(2), Ignacio E. Grossmann(2), Ingrid Bongartz(2), Annick Sartenaer(2), P. Coulman(2), R.A. Haring(2), Gregory L. Morrill(2), C. Visweswariah(2), Pierre Bonami(1), Lorenz T. Biegler(1), Carl D. Laird(1), Jon Lee(1)