Steffen Limmer

54 papers A 4B 7Misc 2Journal 24Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine Learning.
CoRR
Jens Engel, Andrea Castellani, Patricia Wollstadt, Felix Lanfermann, Thomas Schmitt, Sebastian Schmitt, Lydia Fischer, Steffen Limmer, David Luttropp, Florian Jomrich, René Unger, Tobias Rodemann
2025 J jnl
A systematic review of explainability in computational intelligence for optimization.
Comput. Sci. Rev.
José Almeida, João P. Soares, Fernando Lezama, Steffen Limmer, Tobias Rodemann, Zita Vale
2025 B conf
Genetic Programming Hyper-Heuristic for the Dynamic Electric Dial-a-Ride Problem.
CEC
William Huang, Yi Mei, Günther R. Raidl, Fangfang Zhang, Laurenz Tomandl, Steffen Limmer, Mengjie Zhang, Tobias Rodemann
2025 — conf
Neural-Anova: Analytical Model Decomposition Using Automatic Integration.
MLSP
Steffen Limmer, Steffen Udluft, Clemens Otte
2025 J jnl
Predict+Optimize Problem in Renewable Energy Scheduling.
IEEE Access
Christoph Bergmeir, Frits de Nijs, Evgenii Genov, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, 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
2024 — conf
A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour.
EvoApplications@EvoStar
Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer
2024 J jnl
Automated machine learning: past, present and future.
Artif. Intell. Rev.
Mitra Baratchi, Can Wang, Steffen Limmer, Jan N. van Rijn, Holger H. Hoos, Thomas Bäck, Markus Olhofer
2024 — conf
Improvements in Large Neighborhood Search for the Electric Autonomous Dial-A-Ride Problem.
EUROCAST (1)
Maria Bresich, Günther R. Raidl, Steffen Limmer
2024 A conf
Letting a Large Neighborhood Search for an Electric Dial-A-Ride Problem Fly: On-The-Fly Charging Station Insertion.
GECCO
Maria Bresich, Günther R. Raidl, Steffen Limmer
2024 J jnl
Neural-ANOVA: Model Decomposition for Interpretable Machine Learning.
CoRR
Steffen Limmer, Steffen Udluft, Clemens Otte
2024 A conf
Using Bayesian Optimization to Improve Hyperparameter Search in TPOT.
GECCO
Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer
2023 Misc conf
A Hybrid Quantum-Classical Approach to the Electric Mobility Problem.
QCE
Margarita Veshchezerova, Mikhail Somov, David Bertsche, Steffen Limmer, Sebastian Schmitt, Michael Perelshtein, Ayush Joshi Tripathi
2023 — conf
An Evolutionary Approach for Scheduling a Fleet of Shared Electric Vehicles.
EvoApplications@EvoStar
Steffen Limmer, Johannes Varga, Günther R. Raidl
2023 A conf
Hybridizing TPOT with Bayesian Optimization.
GECCO
Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer
2023 — conf
Physics-Informed Neural Networks for Pathloss Prediction.
MLSP
Steffen Limmer, Alberto Martínez Alba, Nicola Michailow
2023 J jnl
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond.
CoRR
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
2022 J jnl
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy.
CoRR
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
2022 J jnl
Computational Methods for Scheduling the Charging and Assignment of an On-Site Shared Electric Vehicle Fleet.
IEEE Access
Johannes Varga, Günther R. Raidl, Steffen Limmer
2022 J jnl
Investigating the Use of Linear Programming and Evolutionary Algorithms for Multi-Objective Electric Vehicle Charging Problem.
IEEE Access
Hemant Kumar Singh, Tapabrata Ray, Md Juel Rana, Steffen Limmer, Tobias Rodemann, Markus Olhofer
2022 J jnl
Physics-informed neural networks for pathloss prediction.
CoRR
Steffen Limmer, Alberto Martínez Alba, Nicola Michailow
2021 — conf
A Combination of Fourier Transform and Machine Learning for Fault Detection and Diagnosis of Induction Motors.
DSA
Van Duc Nguyen, Ewout Zwanenburg, Steffen Limmer, Wessel Luijben, Thomas Bäck, Markus Olhofer
2021 J jnl
Automatic Preference Based Multi-objective Evolutionary Algorithm on Vehicle Fleet Maintenance Scheduling Optimization.
CoRR
Yali Wang, Steffen Limmer, Markus Olhofer, Michael Emmerich, Thomas Bäck
2021 J jnl
Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization.
Swarm Evol. Comput.
Yali Wang, Steffen Limmer, Markus Olhofer, Michael Emmerich, Thomas Bäck
2021 J jnl
Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach.
IEEE Access
Steffen Limmer, Fernando Lezama, João P. Soares, Zita A. Vale
2020 J jnl
Interpretable Control by Reinforcement Learning.
CoRR
Daniel Hein, Steffen Limmer, Thomas A. Runkler
2020 B conf
Optimizing the Hyperparameters of a Mixed Integer Linear Programming Solver to Speed up Electric Vehicle Charging Control.
EvoApplications
Takahiro Ishihara, Steffen Limmer
2019 — conf
A tabu search-based memetic algorithm for the multi-objective flexible job shop scheduling problem.
GECCO (Companion)
Marios Kefalas, Steffen Limmer, Asteris Apostolidis, Markus Olhofer, Michael Emmerich, Thomas Bäck
2019 — conf
Automated Machine Learning for Short-term Electric Load Forecasting.
SSCI
Can Wang, Thomas Bäck, Holger H. Hoos, Mitra Baratchi, Steffen Limmer, Markus Olhofer
2019 B conf
Vehicle Fleet Maintenance Scheduling Optimization by Multi-objective Evolutionary Algorithms.
CEC
Yali Wang, Steffen Limmer, Markus Olhofer, Michael T. M. Emmerich, Thomas Bäck
2018 J jnl
A Neural Architecture for Bayesian Compressive Sensing Over the Simplex via Laplace Techniques.
IEEE Trans. Signal Process.
Steffen Limmer, Slawomir Stanczak
2018 Misc conf
Distributed Machine Learning in the Context of Function Computation over Wireless Networks.
ACSSC
Miruna Raceala-Motoc, Steffen Limmer, Igor Bjelakovic, Slawomir Stanczak
2018 — conf
Optimization of Dynamic Prices for Electric Vehicle Charging Considering Fairness.
SSCI
Steffen Limmer, Manuel Dietrich
2018 B conf
Robust Evolutionary Optimization Based on Coevolution.
EvoApplications
Steffen Limmer, Tobias Rodemann
2017 J jnl
Comparison of common parallel architectures for the execution of the island model and the global parallelization of evolutionary algorithms.
Concurr. Comput. Pract. Exp.
Steffen Limmer, Dietmar Fey
2017 — conf
Multi-objective optimization of plug-in electric vehicle charging prices.
SSCI
Steffen Limmer, Tobias Rodemann
2017 J jnl
Optimal deep neural networks for sparse recovery via Laplace techniques.
CoRR
Steffen Limmer, Slawomir Stanczak
2016 B conf
Investigation of strategies for an increasing population size in multi-objective CMA-ES.
CEC
Steffen Limmer, Dietmar Fey
2016 — conf
Towards optimal nonlinearities for sparse recovery using higher-order statistics.
MLSP
Steffen Limmer, Slawomir Stanczak
2016 J jnl
Towards optimal nonlinearities for sparse recovery using higher-order statistics.
CoRR
Steffen Limmer, Slawomir Stanczak
2015 J jnl
A Simple Algorithm for Approximation by Nomographic Functions.
CoRR
Steffen Limmer, Jafar Mohammadi, Slawomir Stanczak
2015 — conf
A simple algorithm for approximation by nomographic functions.
Allerton
Steffen Limmer, Jafar Mohammadi, Slawomir Stanczak
2015 — —
Vergleich gebräuchlicher Parallelrechensysteme für die Beschleunigung evolutionärer Algorithmen demonstriert für den Entwurf miniaturisierter optischer und elektronischer Bauelemente.
Steffen Limmer
2014 J jnl
On ℓ
CoRR
Steffen Limmer, Slawomir Stanczak
2014 B conf
On ℓp-norm computation over multiple-access channels.
ITW
Steffen Limmer, Slawomir Stanczak
2014 — conf
Performance Investigation and Tuning in the Interoperable Cloud4E Platform.
Euro-Par Workshops (2)
Steffen Limmer, Maik Srba, Dietmar Fey
2014 J jnl
Services for numerical simulations and optimisations in grids.
Int. J. Parallel Emergent Distributed Syst.
Steffen Limmer, André Schneider, Christian Boehme, Dietmar Fey, Simon Schmitz, Achim Graupner, Martin Sülzle
2013 J jnl
Exploiting Interference for Efficient Distributed Computation in Cluster-based Wireless Sensor Networks.
CoRR
Steffen Limmer, Slawomir Stanczak, Mario Goldenbaum, Renato L. G. Cavalcante
2013 — conf
Exploiting interference for efficient distributed computation in cluster-based wireless sensor networks.
GlobalSIP
Steffen Limmer, Slawomir Stanczak, Mario Goldenbaum, Renato L. G. Cavalcante
2013 J jnl
Performance investigations of genetic algorithms on graphics cards.
Swarm Evol. Comput.
Johannes Hofmann, Steffen Limmer, Dietmar Fey
2012 B conf
Evolutionary Design of Active Free Space Optical Networks Based on Digital Mirror Devices.
EvoApplications
Steffen Limmer, Dietmar Fey, Ulrich Lohmann, Jürgen Jahns
2011 A conf
Evolutionary optimization of layouts for high density free space optical network links.
GECCO
Steffen Limmer, Dietmar Fey, Ulrich Lohmann, Jürgen Jahns
2010 — conf
Framework for Distributed Evolutionary Algorithms in Computational Grids.
ISICA (1)
Steffen Limmer, Dietmar Fey
2010 — conf
Simulation and Optimized Design of High Density Optical Crossconnect Systems for Massively Parallel Computing Architectures.
OSC
Ulrich Lohmann, Jürgen Jahns, Steffen Limmer, Dietmar Fey
2010 J jnl
Unconventional Computing - Reversible Signed Digit Adders for Future Nanocomputing Devices (Unkonventionelles Rechnen - reversible Addierer für künftiges Nanocomputing).
it Inf. Technol.
Dietmar Fey, Steffen Limmer