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Alexander Mitsos
Person information
- affiliation: RWTH Aachen University, Germany
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2020 – today
- 2024
- [j84]Moein E. Samadi
, Hedieh Mirzaieazar, Alexander Mitsos, Andreas Schuppert:
Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions. BMC Bioinform. 25(1): 155 (2024) - [j83]Moritz J. Begall
, Frank Herbstritt
, Anne-Laura Sengen, Adel Mhamdi
, Joachim Heck
, Alexander Mitsos
:
Hierarchical heat transfer modeling of a continuous millireactor. Comput. Chem. Eng. 183: 108621 (2024) - [j82]Sonja H. M. Germscheid
, Benedikt Nilges
, Niklas von der Aßen
, Alexander Mitsos
, Manuel Dahmen
:
Optimal design of a local renewable electricity supply system for power-intensive production processes with demand response. Comput. Chem. Eng. 185: 108656 (2024) - [j81]Daniel Mayfrank, Alexander Mitsos, Manuel Dahmen:
End-to-end reinforcement learning of Koopman models for economic nonlinear model predictive control. Comput. Chem. Eng. 190: 108824 (2024) - [j80]Susanne Sass
, Alexander Mitsos
, Dominik Bongartz
, Ian H. Bell
, Nikolay I. Nikolov
, Angelos Tsoukalas
:
A branch-and-bound algorithm with growing datasets for large-scale parameter estimation. Eur. J. Oper. Res. 316(1): 36-45 (2024) - [j79]Danimir T. Doncevic, Alexander Mitsos
, Yue Guo
, Qianxiao Li
, Felix Dietrich
, Manuel Dahmen
, Ioannis G. Kevrekidis:
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. SIAM J. Sci. Comput. 46(2): 719- (2024) - [i25]Christoforos Brozos, Jan G. Rittig, Sandip Bhattacharya, Elie Akanny, Christina Kohlmann, Alexander Mitsos:
Graph Neural Networks for Surfactant Multi-Property Prediction. CoRR abs/2401.01874 (2024) - [i24]Jan C. Schulze, Alexander Mitsos:
Data-driven Nonlinear Model Reduction using Koopman Theory: Integrated Control Form and NMPC Case Study. CoRR abs/2401.04508 (2024) - [i23]Christoforos Brozos, Jan G. Rittig, Sandip Bhattacharya, Elie Akanny, Christina Kohlmann, Alexander Mitsos:
Predicting the Temperature Dependence of Surfactant CMCs Using Graph Neural Networks. CoRR abs/2403.03767 (2024) - [i22]Eleni D. Koronaki, Luise F. Kaven, Johannes M. M. Faust, Ioannis G. Kevrekidis, Alexander Mitsos:
Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy. CoRR abs/2403.08376 (2024) - [i21]Daniel Mayfrank, Na-Young Ahn, Alexander Mitsos, Manuel Dahmen:
Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization. CoRR abs/2403.14425 (2024) - [i20]Chrysanthi Papadimitriou, Jan C. Schulze, Alexander Mitsos:
Representative electricity price profiles for European day-ahead and intraday spot markets. CoRR abs/2405.14403 (2024) - [i19]Mehmet Velioglu, Song Zhai, Sophia Rupprecht, Alexander Mitsos, Andreas Jupke, Manuel Dahmen:
Physics-Informed Neural Networks for Dynamic Process Operations with Limited Physical Knowledge and Data. CoRR abs/2406.01528 (2024) - [i18]Jan G. Rittig, Alexander Mitsos:
Thermodynamics-Consistent Graph Neural Networks. CoRR abs/2407.18372 (2024) - 2023
- [j78]Moritz J. Begall
, Artur M. Schweidtmann
, Adel Mhamdi
, Alexander Mitsos
:
Geometry optimization of a continuous millireactor via CFD and Bayesian optimization. Comput. Chem. Eng. 171: 108140 (2023) - [j77]Jan G. Rittig
, Karim Ben Hicham
, Artur M. Schweidtmann
, Manuel Dahmen
, Alexander Mitsos
:
Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids. Comput. Chem. Eng. 171: 108153 (2023) - [j76]Artur M. Schweidtmann
, Jan G. Rittig
, Jana M. Weber
, Martin Grohe
, Manuel Dahmen
, Kai Leonhard
, Alexander Mitsos
:
Physical pooling functions in graph neural networks for molecular property prediction. Comput. Chem. Eng. 172: 108202 (2023) - [j75]Simone Mucci
, Alexander Mitsos
, Dominik Bongartz
:
Power-to-X processes based on PEM water electrolyzers: A review of process integration and flexible operation. Comput. Chem. Eng. 175: 108260 (2023) - [j74]Sonja H. M. Germscheid
, Fritz T. C. Röben
, Han Sun, André Bardow
, Alexander Mitsos
, Manuel Dahmen
:
Demand response scheduling of copper production under short-term electricity price uncertainty. Comput. Chem. Eng. 178: 108394 (2023) - [j73]Susanne Sass
, Angelos Tsoukalas
, Ian H. Bell
, Dominik Bongartz
, Jaromil Najman
, Alexander Mitsos
:
Towards global parameter estimation exploiting reduced data sets. Optim. Methods Softw. 38(6): 1129-1141 (2023) - [d1]Artur M. Schweidtmann
, Jan G. Rittig
, Jana M. Weber
, Martin Grohe
, Manuel Dahmen, Kai Leonhard
, Alexander Mitsos
:
Software for "Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction". Zenodo, 2023 - [i17]Jan G. Rittig, Kobi C. Felton, Alexei A. Lapkin, Alexander Mitsos:
Gibbs-Duhem-Informed Neural Networks for Binary Activity Coefficient Prediction. CoRR abs/2306.07937 (2023) - [i16]Daniel Mayfrank, Alexander Mitsos, Manuel Dahmen:
End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control. CoRR abs/2308.01674 (2023) - [i15]Luise F. Kaven, Artur M. Schweidtmann, Jan Keil, Jana Israel, Nadja Wolter, Alexander Mitsos:
Data-driven Product-Process Optimization of N-isopropylacrylamide Microgel Flow-Synthesis. CoRR abs/2308.16724 (2023) - [i14]Jan C. Schulze, Danimir T. Doncevic, Nils Erwes, Alexander Mitsos:
Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory. CoRR abs/2309.05386 (2023) - 2022
- [j72]Eike Cramer
, Leonardo Rydin Gorjão
, Alexander Mitsos
, Benjamin Schäfer
, Dirk Witthaut
, Manuel Dahmen
:
Validation Methods for Energy Time Series Scenarios From Deep Generative Models. IEEE Access 10: 8194-8207 (2022) - [j71]Tim Varelmann, Nils Erwes, Pascal Schäfer, Alexander Mitsos:
Simultaneously optimizing bidding strategy in pay-as-bid-markets and production scheduling. Comput. Chem. Eng. 157: 107610 (2022) - [j70]Tim Varelmann, Adrian W. Lipow
, Michael Baldea, Alexander Mitsos:
Advanced feasibility cuts in decoupled cooperative optimization of power flow. Comput. Chem. Eng. 157: 107635 (2022) - [j69]Tobias Ploch, Jens Deussen, Uwe Naumann, Alexander Mitsos, Ralf Hannemann-Tamás
:
Direct single shooting for dynamic optimization of differential-algebraic equation systems with optimization criteria embedded. Comput. Chem. Eng. 159: 107643 (2022) - [j68]Kilian Merkelbach
, Artur M. Schweidtmann
, Younes Müller
, Patrick Schwoebel, Adel Mhamdi
, Alexander Mitsos, Andreas Schuppert, Thomas Mrziglod, Sebastian Schneckener
:
HybridML: Open source platform for hybrid modeling. Comput. Chem. Eng. 160: 107736 (2022) - [j67]Marco Langiu
, Manuel Dahmen
, Alexander Mitsos
:
Simultaneous optimization of design and operation of an air-cooled geothermal ORC under consideration of multiple operating points. Comput. Chem. Eng. 161: 107745 (2022) - [j66]Jan C. Schulze, Danimir T. Doncevic, Alexander Mitsos
:
Identification of MIMO Wiener-type Koopman models for data-driven model reduction using deep learning. Comput. Chem. Eng. 161: 107781 (2022) - [j65]Steffen Fahr
, Alexander Mitsos
, Dominik Bongartz
:
Simultaneous deterministic global flowsheet optimization and heat integration: Comparison of formulations. Comput. Chem. Eng. 162: 107790 (2022) - [j64]Jannik Burre
, Christoph Kabatnik, Mohamed Al-Khatib, Dominik Bongartz
, Andreas Jupke, Alexander Mitsos
:
Global flowsheet optimization for reductive dimethoxymethane production using data-driven thermodynamic models. Comput. Chem. Eng. 162: 107806 (2022) - [j63]Eduardo S. Schultz, Simon Olofsson, Adel Mhamdi
, Alexander Mitsos
:
Satisfaction of path chance constraints in dynamic optimization problems. Comput. Chem. Eng. 164: 107899 (2022) - [j62]Eike Cramer
, Leonard Paeleke
, Alexander Mitsos, Manuel Dahmen
:
Normalizing flow-based day-ahead wind power scenario generation for profitable and reliable delivery commitments by wind farm operators. Comput. Chem. Eng. 166: 107923 (2022) - [j61]Andreas M. Bremen, Katharina M. Ebeling
, Victor Schulte, Jan Pavsek, Alexander Mitsos
:
Dynamic modeling of aqueous electrolyte systems in Modelica. Comput. Chem. Eng. 166: 107968 (2022) - [j60]Jan C. Schulze
, Alexander Mitsos
:
Data-Driven Nonlinear Model Reduction Using Koopman Theory: Integrated Control Form and NMPC Case Study. IEEE Control. Syst. Lett. 6: 2978-2983 (2022) - [j59]Chrysoula Dimitra Kappatou, Dominik Bongartz
, Jaromil Najman, Susanne Sass, Alexander Mitsos
:
Global dynamic optimization with Hammerstein-Wiener models embedded. J. Glob. Optim. 84(2): 321-347 (2022) - [j58]Daniel Jungen, Hatim Djelassi, Alexander Mitsos
:
Adaptive discretization-based algorithms for semi-infinite programs with unbounded variables. Math. Methods Oper. Res. 96(1): 83-112 (2022) - [j57]Adrian Caspari
, Steffen Fahr
, Alexander Mitsos
:
Optimal Eco-Routing for Hybrid Vehicles With Powertrain Model Embedded. IEEE Trans. Intell. Transp. Syst. 23(9): 14632-14648 (2022) - [i13]Jan C. Schulze, Danimir T. Doncevic, Alexander Mitsos:
Identification of MIMO Wiener-type Koopman Models for Data-Driven Model Reduction using Deep Learning. CoRR abs/2201.12669 (2022) - [i12]Eike Cramer, Felix Rauh, Alexander Mitsos, Raúl Tempone, Manuel Dahmen:
Nonlinear Isometric Manifold Learning for Injective Normalizing Flows. CoRR abs/2203.03934 (2022) - [i11]Eike Cramer, Leonard Paeleke, Alexander Mitsos, Manuel Dahmen:
Normalizing Flow-based Day-Ahead Wind Power Scenario Generation for Profitable and Reliable Delivery Commitments by Wind Farm Operators. CoRR abs/2204.02242 (2022) - [i10]Eike Cramer, Dirk Witthaut, Alexander Mitsos, Manuel Dahmen:
Multivariate Probabilistic Forecasting of Intraday Electricity Prices using Normalizing Flows. CoRR abs/2205.13826 (2022) - [i9]Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann
, Stefanie Winkler, Jana M. Weber, Philipp Morsch, K. Alexander Heufer, Martin Grohe, Alexander Mitsos, Manuel Dahmen:
Graph Machine Learning for Design of High-Octane Fuels. CoRR abs/2206.00619 (2022) - [i8]Jan G. Rittig, Karim Ben Hicham, Artur M. Schweidtmann
, Manuel Dahmen, Alexander Mitsos:
Graph Neural Networks for Temperature-Dependent Activity Coefficient Prediction of Solutes in Ionic Liquids. CoRR abs/2206.11776 (2022) - [i7]Artur M. Schweidtmann
, Jan G. Rittig, Jana M. Weber, Martin Grohe, Manuel Dahmen, Kai Leonhard, Alexander Mitsos:
Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction. CoRR abs/2207.13779 (2022) - [i6]Jan G. Rittig
, Qinghe Gao, Manuel Dahmen, Alexander Mitsos, Artur M. Schweidtmann
:
Graph neural networks for the prediction of molecular structure-property relationships. CoRR abs/2208.04852 (2022) - [i5]Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis:
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. CoRR abs/2211.12386 (2022) - 2021
- [j56]Jan C. Schulze, Adrian Caspari
, Christoph Offermanns, Adel Mhamdi
, Alexander Mitsos:
Nonlinear model predictive control of ultra-high-purity air separation units using transient wave propagation model. Comput. Chem. Eng. 145: 107163 (2021) - [j55]Efstratios N. Pistikopoulos
, Ana Barbosa-Póvoa
, Jay H. Lee, Ruth Misener
, Alexander Mitsos, Gintaras V. Reklaitis, Venkat Venkatasubramanian, Fengqi You, Rafiqul Gani
:
Process systems engineering - The generation next?. Comput. Chem. Eng. 147: 107252 (2021) - [j54]Marco Langiu, David Yang Shu
, Florian Joseph Baader
, Dominik Hering
, Uwe Bau
, André Xhonneux
, Dirk Müller
, André Bardow
, Alexander Mitsos
, Manuel Dahmen
:
COMANDO: A Next-Generation Open-Source Framework for Energy Systems Optimization. Comput. Chem. Eng. 152: 107366 (2021) - [j53]Hatim Djelassi, Alexander Mitsos
, Oliver Stein
:
Recent advances in nonconvex semi-infinite programming: Applications and algorithms. EURO J. Comput. Optim. 9: 100006 (2021) - [j52]Ulf W. Liebal, Sebastian Köbbing, Linus Netze, Artur M. Schweidtmann
, Alexander Mitsos, Lars M. Blank
:
Insight to Gene Expression From Promoter Libraries With the Machine Learning Workflow Exp2Ipynb. Frontiers Bioinform. 1 (2021) - [j51]Jaromil Najman, Dominik Bongartz
, Alexander Mitsos
:
Linearization of McCormick relaxations and hybridization with the auxiliary variable method. J. Glob. Optim. 80(4): 731-756 (2021) - [j50]Hatim Djelassi, Alexander Mitsos
:
Global Solution of Semi-infinite Programs with Existence Constraints. J. Optim. Theory Appl. 188(3): 863-881 (2021) - [j49]Artur M. Schweidtmann
, Dominik Bongartz
, Daniel Grothe, Tim Kerkenhoff, Xiaopeng Lin, Jaromil Najman, Alexander Mitsos
:
Deterministic global optimization with Gaussian processes embedded. Math. Program. Comput. 13(3): 553-581 (2021) - [i4]Simon Olofsson, Eduardo S. Schultz, Adel Mhamdi, Alexander Mitsos, Marc Peter Deisenroth, Ruth Misener:
Design of Dynamic Experiments for Black-Box Model Discrimination. CoRR abs/2102.03782 (2021) - [i3]Eike Cramer
, Alexander Mitsos, Raúl Tempone, Manuel Dahmen:
Principal Component Density Estimation for Scenario Generation Using Normalizing Flows. CoRR abs/2104.10410 (2021) - [i2]Eike Cramer
, Leonardo Rydin Gorjão, Alexander Mitsos, Benjamin Schäfer, Dirk Witthaut, Manuel Dahmen:
Validation Methods for Energy Time Series Scenarios from Deep Generative Models. CoRR abs/2110.14451 (2021) - 2020
- [j48]Eduardo S. Schultz, Ralf Hannemann-Tamás
, Alexander Mitsos:
Guaranteed satisfaction of inequality state constraints in PDE-constrained optimization. Autom. 111 (2020) - [j47]Enio Gjerga
, Panuwat Trairatphisan, Attila Gábor, Hermann Koch, Céline Chevalier, Franceco Ceccarelli, Aurélien Dugourd, Alexander Mitsos, Julio Saez-Rodriguez
, Jonathan D. Wren:
Converting networks to predictive logic models from perturbation signalling data with CellNOpt. Bioinform. 36(16): 4523-4524 (2020) - [j46]Pascal Schäfer
, Artur M. Schweidtmann
, Philipp H. A. Lenz, Hannah M. C. Markgraf, Alexander Mitsos:
Wavelet-based grid-adaptation for nonlinear scheduling subject to time-variable electricity prices. Comput. Chem. Eng. 132 (2020) - [j45]Andrea König
, Lisa Neidhardt, Jörn Viell, Alexander Mitsos, Manuel Dahmen:
Integrated design of processes and products: Optimal renewable fuels. Comput. Chem. Eng. 134: 106712 (2020) - [j44]Eduardo S. Schultz, Ralf Hannemann-Tamás
, Alexander Mitsos:
Polynomial approximation of inequality path constraints in dynamic optimization. Comput. Chem. Eng. 135: 106732 (2020) - [j43]Susanne Sass, Timm Faulwasser
, Dinah Elena Hollermann
, Chrysoula Dimitra Kappatou, Dominique Sauer
, Thomas Schütz, David Yang Shu
, André Bardow
, Lutz Gröll, Veit Hagenmeyer, Dirk Müller
, Alexander Mitsos:
Model compendium, data, and optimization benchmarks for sector-coupled energy systems. Comput. Chem. Eng. 135: 106760 (2020) - [j42]Luisa C. Brée, Matthias Wessling, Alexander Mitsos:
Modular modeling of electrochemical reactors: Comparison of CO2-electolyzers. Comput. Chem. Eng. 139: 106890 (2020) - [j41]Adrian Caspari
, Lukas Lüken, Pascal Schäfer
, Yannic Vaupel, Adel Mhamdi
, Lorenz T. Biegler
, Alexander Mitsos:
Dynamic optimization with complementarity constraints: Smoothing for direct shooting. Comput. Chem. Eng. 139: 106891 (2020) - [j40]Tobias Ploch, Eric von Lieres, Wolfgang Wiechert, Alexander Mitsos, Ralf Hannemann-Tamás
:
Simulation of differential-algebraic equation systems with optimization criteria embedded in Modelica. Comput. Chem. Eng. 140: 106920 (2020) - [j39]Preet Joy, Adel Mhamdi
, Alexander Mitsos:
Optimization-based observability analysis. Comput. Chem. Eng. 140: 106932 (2020) - [j38]Wolfgang R. Huster, Artur M. Schweidtmann
, Jannik T. Lüthje, Alexander Mitsos:
Deterministic global superstructure-based optimization of an organic Rankine cycle. Comput. Chem. Eng. 141: 106996 (2020) - [j37]Chrysoula Dimitra Kappatou, Alireza Ehsani, Sebastian Niedenführ, Adel Mhamdi
, Andreas Schuppert, Alexander Mitsos:
Quality-targeting dynamic optimization of monoclonal antibody production. Comput. Chem. Eng. 142: 107004 (2020) - [i1]Artur M. Schweidtmann, Dominik Bongartz, Daniel Grothe, Tim Kerkenhoff, Xiaopeng Lin, Jaromil Najman, Alexander Mitsos:
Global Optimization of Gaussian processes. CoRR abs/2005.10902 (2020)
2010 – 2019
- 2019
- [j36]Pascal Schäfer
, Hermann Graf Westerholt
, Artur M. Schweidtmann
, Svetlina Ilieva, Alexander Mitsos
:
Model-based bidding strategies on the primary balancing market for energy-intense processes. Comput. Chem. Eng. 120: 4-14 (2019) - [j35]Artur M. Schweidtmann
, Wolfgang R. Huster
, Jannik T. Lüthje, Alexander Mitsos
:
Deterministic global process optimization: Accurate (single-species) properties via artificial neural networks. Comput. Chem. Eng. 121: 67-74 (2019) - [j34]Susanne Sass, Alexander Mitsos
:
Optimal operation of dynamic (energy) systems: When are quasi-steady models adequate? Comput. Chem. Eng. 124: 133-139 (2019) - [j33]Preet Joy, Hatim Djelassi, Adel Mhamdi
, Alexander Mitsos
:
Optimization-based global structural identifiability. Comput. Chem. Eng. 128: 417-420 (2019) - [j32]Johannes M. M. Faust, Tomas Chaloupka, Juraj Kosek, Adel Mhamdi
, Alexander Mitsos:
Dynamic optimization of an emulsion copolymerization process for product quality using a deterministic kinetic model with embedded Monte Carlo simulations. Comput. Chem. Eng. 130 (2019) - [j31]Jaromil Najman, Dominik Bongartz
, Alexander Mitsos:
Convex relaxations of componentwise convex functions. Comput. Chem. Eng. 130 (2019) - [j30]Jaromil Najman, Dominik Bongartz
, Alexander Mitsos:
Relaxations of thermodynamic property and costing models in process engineering. Comput. Chem. Eng. 130 (2019) - [j29]Alexander Mitsos
, Jaromil Najman, Ioannis G. Kevrekidis:
Correction to: Optimal deterministic algorithm generation. J. Glob. Optim. 73(2): 465 (2019) - [j28]Jaromil Najman, Alexander Mitsos
:
On tightness and anchoring of McCormick and other relaxations. J. Glob. Optim. 74(4): 677-703 (2019) - [j27]Hatim Djelassi, Moll Glass, Alexander Mitsos
:
Discretization-based algorithms for generalized semi-infinite and bilevel programs with coupling equality constraints. J. Glob. Optim. 75(2): 341-392 (2019) - [j26]Jaromil Najman, Alexander Mitsos
:
Tighter McCormick relaxations through subgradient propagation. J. Glob. Optim. 75(3): 565-593 (2019) - [j25]Artur M. Schweidtmann
, Alexander Mitsos
:
Deterministic Global Optimization with Artificial Neural Networks Embedded. J. Optim. Theory Appl. 180(3): 925-948 (2019) - 2018
- [j24]Olga Walz, Hatim Djelassi, Adrian Caspari
, Alexander Mitsos
:
Bounded-error optimal experimental design via global solution of constrained min-max program. Comput. Chem. Eng. 111: 92-101 (2018) - [j23]Alexander Mitsos
, Norbert Asprion
, Christodoulos A. Floudas, Michael Bortz
, Michael Baldea, Dominique Bonvin
, Adrian Caspari
, Pascal Schäfer
:
Challenges in process optimization for new feedstocks and energy sources. Comput. Chem. Eng. 113: 209-221 (2018) - [j22]Jennifer Puschke, Hatim Djelassi, Johanna Kleinekorte, Ralf Hannemann-Tamás
, Alexander Mitsos
:
Robust dynamic optimization of batch processes under parametric uncertainty: Utilizing approaches from semi-infinite programs. Comput. Chem. Eng. 116: 253-267 (2018) - [j21]Alexander Mitsos
, Jaromil Najman, Ioannis G. Kevrekidis:
Optimal deterministic algorithm generation. J. Glob. Optim. 71(4): 891-913 (2018) - 2017
- [j20]Olga Walz, Caroline Marks, Jörn Viell, Alexander Mitsos
:
Systematic approach for modeling reaction networks involving equilibrium and kinetically-limited reaction steps. Comput. Chem. Eng. 98: 143-153 (2017) - [j19]Jennifer Puschke, Alexandr Zubov
, Juraj Kosek
, Alexander Mitsos
:
Multi-model approach based on parametric sensitivities - A heuristic approximation for dynamic optimization of semi-batch processes with parametric uncertainties. Comput. Chem. Eng. 98: 161-179 (2017) - [j18]Moll Glass, Alexander Mitsos
:
Thermodynamic analysis of formulations to discriminate multiple roots of cubic equations of state in process models. Comput. Chem. Eng. 106: 407-420 (2017) - [j17]Jaromil Najman, Dominik Bongartz
, Angelos Tsoukalas
, Alexander Mitsos
:
Erratum to: Multivariate McCormick relaxations. J. Glob. Optim. 68(1): 219-225 (2017) - [j16]Hatim Djelassi, Alexander Mitsos
:
A hybrid discretization algorithm with guaranteed feasibility for the global solution of semi-infinite programs. J. Glob. Optim. 68(2): 227-253 (2017) - [j15]Dominik Bongartz
, Alexander Mitsos
:
Deterministic global optimization of process flowsheets in a reduced space using McCormick relaxations. J. Glob. Optim. 69(4): 761-796 (2017) - 2016
- [j14]Jaromil Najman, Alexander Mitsos
:
Convergence analysis of multivariate McCormick relaxations. J. Glob. Optim. 66(4): 597-628 (2016) - 2015
- [j13]Jun Fu, Johannes M. M. Faust
, Benoît Chachuat
, Alexander Mitsos:
Local optimization of dynamic programs with guaranteed satisfaction of path constraints. Autom. 62: 184-192 (2015) - [j12]Alexander Mitsos
, Angelos Tsoukalas
:
Global optimization of generalized semi-infinite programs via restriction of the right hand side. J. Glob. Optim. 61(1): 1-17 (2015) - [c2]Johannes Lotz, Uwe Naumann, Ralf Hannemann-Tamás
, Tobias Ploch, Alexander Mitsos
:
Higher-order Discrete Adjoint ODE Solver in C++ for Dynamic Optimization. ICCS 2015: 256-265 - 2014
- [j11]Angelos Tsoukalas
, Alexander Mitsos
:
Multivariate McCormick relaxations. J. Glob. Optim. 59(2-3): 633-662 (2014) - 2013
- [j10]Agustín Bompadre, Alexander Mitsos
, Benoît Chachuat
:
Convergence analysis of Taylor models and McCormick-Taylor models. J. Glob. Optim. 57(1): 75-114 (2013) - 2012
- [j9]Agustín Bompadre, Alexander Mitsos
:
Convergence rate of McCormick relaxations. J. Glob. Optim. 52(1): 1-28 (2012) - 2011
- [j8]Ioannis N. Melas
, Alexander Mitsos, Dimitris E. Messinis
, Thomas S. Weiss
, Leonidas G. Alexopoulos
:
Combined logical and data-driven models for linking signalling pathways to cellular response. BMC Syst. Biol. 5: 107 (2011) - [c1]Ioannis N. Melas
, Aikaterini D. Chairakaki, Alexander Mitsos, Zoe Dailiana, Christopher G. Provatidis, Leonidas G. Alexopoulos
:
Modeling signaling pathways in articular cartilage. EMBC 2011: 3712-3715 - 2010
- [j7]Alexander Mitsos
:
Global solution of nonlinear mixed-integer bilevel programs. J. Glob. Optim. 47(4): 557-582 (2010)
2000 – 2009
- 2009
- [j6]Alexander Mitsos
, Paul I. Barton:
Parametric mixed-integer 0-1 linear programming: The general case for a single parameter. Eur. J. Oper. Res. 194(3): 663-686 (2009) - [j5]Alexander Mitsos
, Benoît Chachuat
, Paul I. Barton:
Towards global bilevel dynamic optimization. J. Glob. Optim. 45(1): 63-93 (2009) - [j4]Alexander Mitsos, Ioannis N. Melas
, Paraskeuas Siminelakis, Aikaterini D. Chairakaki, Julio Saez-Rodriguez
, Leonidas G. Alexopoulos
:
Identifying Drug Effects via Pathway Alterations using an Integer Linear Programming Optimization Formulation on Phosphoproteomic Data. PLoS Comput. Biol. 5(12) (2009) - [j3]Alexander Mitsos
, Benoît Chachuat
, Paul I. Barton:
McCormick-Based Relaxations of Algorithms. SIAM J. Optim. 20(2): 573-601 (2009) - 2008
- [j2]Alexander Mitsos
, Panayiotis Lemonidis, Paul I. Barton:
Global solution of bilevel programs with a nonconvex inner program. J. Glob. Optim. 42(4): 475-513 (2008) - [j1]Alexander Mitsos
, Panayiotis Lemonidis, Cha Kun Lee, Paul I. Barton:
Relaxation-Based Bounds for Semi-Infinite Programs. SIAM J. Optim. 19(1): 77-113 (2008)
Coauthor Index
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To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-29 21:52 CEST by the dblp team
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