Steffen Limmer

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 31

Top Venues

University of Erlangen-Nuremberg (PHD)

Education History

University of Erlangen-Nuremberg

PHD

Publications

Mitra Baratchi, Can Wang, Steffen Limmer, Jan N. van Rijn, Holger H. Hoos, Thomas Bäck, Markus Olhofer
Automated machine learning: past, present and future. Artif. Intell. Rev. 57 (5) (2024)
Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer
Using Bayesian Optimization to Improve Hyperparameter Search in TPOT. GECCO (2024)
Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer
A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour. EvoApplications@EvoStar (2024)
Maria Bresich, Günther R. Raidl, Steffen Limmer
Letting a Large Neighborhood Search for an Electric Dial-A-Ride Problem Fly: On-The-Fly Charging Station Insertion. GECCO (2024)
Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer
Hybridizing TPOT with Bayesian Optimization. GECCO (2023)
Margarita Veshchezerova, Mikhail Somov, David Bertsche, Steffen Limmer, Sebastian Schmitt, Michael Perelshtein, Ayush Joshi Tripathi
A Hybrid Quantum-Classical Approach to the Electric Mobility Problem. QCE (2023)
Steffen Limmer, Alberto Martínez Alba, Nicola Michailow
Physics-Informed Neural Networks for Pathloss Prediction. MLSP (2023)
Direnc Pekaslan, Jose Maria Alonso-Moral, Kasun Bandara, Christoph Bergmeir, Juan Bernabé-Moreno, Robert Eigenmann, Nils Einecke, Selvi Ergen, Rakshitha Godahewa, Hansika Hewamalage, Jesus Lago, Steffen Limmer, Sven Rebhan, Boris Rabinovich, Dilini Rajapaksha, Heda Song, Christian Wagner, Wenlong Wu, Luis Magdalena, Isaac Triguero
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. CoRR (2023)
Hemant Kumar Singh, Tapabrata Ray, Md Juel Rana, Steffen Limmer, Tobias Rodemann, Markus Olhofer
Investigating the Use of Linear Programming and Evolutionary Algorithms for Multi-Objective Electric Vehicle Charging Problem. IEEE Access 10 (2022)
Steffen Limmer, Alberto Martínez Alba, Nicola Michailow
Physics-informed neural networks for pathloss prediction. CoRR (2022)
Johannes Varga, Günther R. Raidl, Steffen Limmer
Computational Methods for Scheduling the Charging and Assignment of an On-Site Shared Electric Vehicle Fleet. IEEE Access 10 (2022)
Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Evgenii Genov, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. CoRR (2022)
Yali Wang, Steffen Limmer, Markus Olhofer, Michael Emmerich, Thomas Bäck
Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization. Swarm Evol. Comput. 65 (2021)
Yali Wang, Steffen Limmer, Markus Olhofer, Michael Emmerich, Thomas Bäck
Automatic Preference Based Multi-objective Evolutionary Algorithm on Vehicle Fleet Maintenance Scheduling Optimization. CoRR (2021)
Steffen Limmer, Fernando Lezama, João P. Soares, Zita A. Vale
Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach. IEEE Access 9 (2021)
Van Duc Nguyen, Ewout Zwanenburg, Steffen Limmer, Wessel Luijben, Thomas Bäck, Markus Olhofer
A Combination of Fourier Transform and Machine Learning for Fault Detection and Diagnosis of Induction Motors. DSA (2021)
Daniel Hein, Steffen Limmer, Thomas A. Runkler
Interpretable Control by Reinforcement Learning. CoRR (2020)
Takahiro Ishihara, Steffen Limmer
Optimizing the Hyperparameters of a Mixed Integer Linear Programming Solver to Speed up Electric Vehicle Charging Control. EvoApplications (2020)
Marios Kefalas, Steffen Limmer, Asteris Apostolidis, Markus Olhofer, Michael Emmerich, Thomas Bäck
A tabu search-based memetic algorithm for the multi-objective flexible job shop scheduling problem. GECCO (Companion) (2019)
Can Wang, Thomas Bäck, Holger H. Hoos, Mitra Baratchi, Steffen Limmer, Markus Olhofer
Automated Machine Learning for Short-term Electric Load Forecasting. SSCI (2019)
Yali Wang, Steffen Limmer, Markus Olhofer, Michael T. M. Emmerich, Thomas Bäck
Vehicle Fleet Maintenance Scheduling Optimization by Multi-objective Evolutionary Algorithms. CEC (2019)
Steffen Limmer, Manuel Dietrich
Optimization of Dynamic Prices for Electric Vehicle Charging Considering Fairness. SSCI (2018)
Miruna Raceala-Motoc, Steffen Limmer, Igor Bjelakovic, Slawomir Stanczak
Distributed Machine Learning in the Context of Function Computation over Wireless Networks. ACSSC (2018)
Steffen Limmer, Slawomir Stanczak
A Neural Architecture for Bayesian Compressive Sensing Over the Simplex via Laplace Techniques. IEEE Trans. Signal Process. 66 (22) (2018)
Steffen Limmer, Tobias Rodemann
Robust Evolutionary Optimization Based on Coevolution. EvoApplications (2018)
Steffen Limmer, Slawomir Stanczak
Optimal deep neural networks for sparse recovery via Laplace techniques. CoRR (2017)
Steffen Limmer, Dietmar Fey
Comparison of common parallel architectures for the execution of the island model and the global parallelization of evolutionary algorithms. Concurr. Comput. Pract. Exp. 29 (9) (2017)
Steffen Limmer, Tobias Rodemann
Multi-objective optimization of plug-in electric vehicle charging prices. SSCI (2017)
Steffen Limmer, Dietmar Fey
Investigation of strategies for an increasing population size in multi-objective CMA-ES. CEC (2016)
Steffen Limmer, Slawomir Stanczak
Towards optimal nonlinearities for sparse recovery using higher-order statistics. MLSP (2016)
Steffen Limmer, Slawomir Stanczak
Towards optimal nonlinearities for sparse recovery using higher-order statistics. CoRR (2016)
Steffen Limmer, Jafar Mohammadi, Slawomir Stanczak
A simple algorithm for approximation by nomographic functions. Allerton (2015)
Steffen Limmer, Jafar Mohammadi, Slawomir Stanczak
A Simple Algorithm for Approximation by Nomographic Functions. CoRR (2015)
Steffen Limmer, Slawomir Stanczak
-norm Computation over Multiple-Access Channels. CoRR (2014)
Steffen Limmer, Maik Srba, Dietmar Fey
Performance Investigation and Tuning in the Interoperable Cloud4E Platform. Euro-Par Workshops (2) (2014)
Steffen Limmer, Slawomir Stanczak
On ℓp-norm computation over multiple-access channels. ITW (2014)
Steffen Limmer, André Schneider, Christian Boehme, Dietmar Fey, Simon Schmitz, Achim Graupner, Martin Sülzle
Services for numerical simulations and optimisations in grids. Int. J. Parallel Emergent Distributed Syst. 29 (6) (2014)
Steffen Limmer, Slawomir Stanczak, Mario Goldenbaum, Renato L. G. Cavalcante
Exploiting interference for efficient distributed computation in cluster-based wireless sensor networks. GlobalSIP (2013)
Steffen Limmer, Slawomir Stanczak, Mario Goldenbaum, Renato L. G. Cavalcante
Exploiting Interference for Efficient Distributed Computation in Cluster-based Wireless Sensor Networks. CoRR (2013)
Johannes Hofmann, Steffen Limmer, Dietmar Fey
Performance investigations of genetic algorithms on graphics cards. Swarm Evol. Comput. 12 (2013)
Steffen Limmer, Johannes Varga, Günther R. Raidl
An Evolutionary Approach for Scheduling a Fleet of Shared Electric Vehicles. EvoApplications@EvoStar (2013)
Steffen Limmer, Dietmar Fey, Ulrich Lohmann, Jürgen Jahns
Evolutionary Design of Active Free Space Optical Networks Based on Digital Mirror Devices. EvoApplications (2012)
Steffen Limmer, Dietmar Fey, Ulrich Lohmann, Jürgen Jahns
Evolutionary optimization of layouts for high density free space optical network links. GECCO (2011)
Ulrich Lohmann, Jürgen Jahns, Steffen Limmer, Dietmar Fey
Simulation and Optimized Design of High Density Optical Crossconnect Systems for Massively Parallel Computing Architectures. OSC (2010)
Dietmar Fey, Steffen Limmer
Unconventional Computing - Reversible Signed Digit Adders for Future Nanocomputing Devices (Unkonventionelles Rechnen - reversible Addierer für künftiges Nanocomputing). it Inf. Technol. 52 (3) (2010)
Steffen Limmer, Dietmar Fey
Framework for Distributed Evolutionary Algorithms in Computational Grids. ISICA (1) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Steffen Limmer