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Papers matching “machine learning for optimization” 84

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Binary Interaction Methods for High Dimensional Global Optimization and Machine Learning
2022 Applied Mathematics & Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access

Alessandro Benfenati, Giacomo Borghi, Lorenzo Pareschi

17

citations
Benchmarking of hyperparameter optimization techniques for machine learning applications in production
2022 Advances in Industrial and Manufacturing Engineering article Computer Science Machine Learning and Data Classification Open access

Maximilian Motz, Jonathan Krauß, Robert Heinrich Schmitt

10

citations
Interpretation of the DOME Recommendations for Machine Learning in Proteomics and Metabolomics
2022 Journal of Proteome Research article Chemistry Advanced Proteomics Techniques and Applications Open access

Magnus Palmblad, Sebastian Böcker, Sven Degroeve, Oliver Kohlbacher, Lukas Käll, William Stafford Noble, +1 more

16

citations
Towards Time-Series Feature Engineering in Automated Machine Learning for Multi-Step-Ahead Forecasting
2022 International Conference on Time Series and Forecasting (ITISE) conference-paper Computer Science Time Series Analysis and Forecasting Open access

Can Wang, Mitra Baratchi, Thomas Bäck, Holger H. Hoos, Steffen Limmer, Markus Olhofer

31

citations
Graph machine learning for design of high‐octane fuels
2022 AIChE Journal article Materials Science Machine Learning in Materials Science Open access

Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann, Jana M. Weber, Philipp Morsch, Karl Alexander Heufer, +3 more

36

citations
Graph Machine Learning for Design of High-Octane Fuels
2022 RWTH Publications (RWTH Aachen) preprint Materials Science Machine Learning in Materials Science Open access

Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann, Jana M. Weber, Philipp Morsch, K. Alexander Heufer, +3 more

0

citations
Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines
2022 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Armin Norouzi, Saeid Shahpouri, Alexander Winkler, Eugen Nuss

0

citations
Reinforcement learning for guiding optimization processes in optical design
2022 SPIE Applications of Machine Learning conference-paper Engineering Advanced optical system design

Cailing Fu, Jochen Stollenwerk, Carlo Holly

4

citations
MAiNGO – A Global Optimizer for Process Engineering: Algorithm and Applications in Process Design and Machine Learning
2022 Chemie Ingenieur Technik article Engineering Process Optimization and Integration

Dominik Bongartz, Steffen R. Fahr, Jaromił Najman, Chrysoula Dimitra Kappatou, Susanne Saß, Artur M. Schweidtmann, +1 more

0

citations
Environment Classification Using Machine Learning Methods for Eco-Driving Strategies in Intelligent Vehicles
2022 Applied Sciences article Engineering Autonomous Vehicle Technology and Safety Open access

Jose del C. Julio-Rodríguez, Carlos A. Rojas-Ruiz, Alfredo Santana-Díaz, Rogelio Bustamante-Bello, Ricardo A. Ramírez-Mendoza

19

citations
Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines
2022 IFAC-PapersOnLine article Engineering Advanced Control Systems Optimization Open access

Armin Norouzi, Saeid Shahpouri, David C. Gordon, Alexander Winkler, Eugen Nuss, Dirk Abel, +3 more

16

citations
Reinforcement Learning Approaches for the Optimization of the Partial Oxidation Reaction of Methane
2022 Industrial & Engineering Chemistry Research article Computer Science Reinforcement Learning in Robotics

Marius Neumann, Stefan Palkovits

22

citations
Machine Learning-Based Control for Fuel Cell Hybrid Buses: From Average Load Power Prediction to Energy Management
2022 Vehicles article Engineering Electric and Hybrid Vehicle Technologies Open access

Hujun Peng, Jianxiang Li, Kai Deng, Kay Hameyer

12

citations
Applied Machine Learning for Production Planning and Control: Overview and Potentials
2022 IFAC-PapersOnLine article Engineering Scheduling and Optimization Algorithms Open access

Oliver Antons, Julia C. Arlinghaus

7

citations
A machine-learning classifier for LOFAR radio galaxy cross-matching techniques
2022 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Radio Astronomy Observations and Technology Open access

L. Alegre, J. Sabater, P. N. Best, G. Gürkan, M. J. Hardcastle, R. Kondapally, +2 more

19

citations
Machine Learning and Autonomous Control—A Synergy for Manufacturing
2022 Studies in computational intelligence conference-paper Engineering Scheduling and Optimization Algorithms

Oliver Antons, Julia C. Arlinghaus

0

citations
Equivariant quantum circuits for learning on weighted graphs
2022 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Andrea Skolik, Michele Cattelan, Sheir Yarkoni, Thomas Bäck, Vedran Dunjko

3

citations
An Efficient Contesting Procedure for AutoML Optimization
2022 IEEE Access article Computer Science Machine Learning and Data Classification Open access

Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck

11

citations
Human-Centric Machine Learning for Temporal Knowledge Graphs: Towards Understanding the European Alternative Fuels Market
2022 Proceedings/Proceedings -- IEEE Symposium on Visual Languages and Human-Centric Computing conference-paper Computer Science Advanced Graph Neural Networks

Robert Jungnickel, Aymen Gannouni, Anas Abdelrazeq, Ingrid Isenhardt

1

citations
Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning Model of the Auditory Nerve
2022 arXiv (Cornell University) preprint Neuroscience Hearing Loss and Rehabilitation Open access

Jacob de Nobel, Anna V. Kononova, Jeroen Johannes Briaire, Johan H. M. Frijns, Thomas Bäck

0

citations
Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning
2022 Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access cited by 1 patent

Andrea Skolik, Sofiène Jerbi, Vedran Dunjko

193

citations
Metalearning for Hyperparameter Optimization
2022 Cognitive technologies book-chapter Computer Science Machine Learning and Data Classification Open access

Pavel Brazdil, Jan N. van Rijn, Carlos Soares, Joaquin Vanschoren

8

citations
A Critical Period for Robust Curriculum‐Based Deep Reinforcement Learning of Sequential Action in a Robot Arm
2022 Topics in Cognitive Science article Computer Science Reinforcement Learning in Robotics Open access

Roy de Kleijn, Deniz Sen, George Kachergis

7

citations
Optimisation of a Workpiece Clamping Position with Reinforcement Learning for Complex Milling Applications
2022 Lecture notes in computer science conference-paper Engineering Manufacturing Process and Optimization

Chrismarie Enslin, Владимир Самсонов, Hans-Georg Köpken, Schirin Bär, Daniel Lütticke

2

citations
Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm
2022 EPJ Quantum Technology article Computer Science Quantum Computing Algorithms and Architecture Open access cited by 1 patent

Charles Moussa, Hao Wang, Thomas Bäck, Vedran Dunjko

43

citations