Steffen Limmer

According to our database, Steffen Limmer authored at least 39 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour.

Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

2023

The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond.

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

CoRR, 2023

A Hybrid Quantum-Classical Approach to the Electric Mobility Problem.

Margarita Veshchezerova, Mikhail Somov, David Bertsche, Steffen Limmer, Sebastian Schmitt, Michael Perelshtein, Ayush Joshi Tripathi

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Physics-Informed Neural Networks for Pathloss Prediction.

Steffen Limmer, Alberto Martínez Alba, Nicola Michailow

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Hybridizing TPOT with Bayesian Optimization.

Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

An Evolutionary Approach for Scheduling a Fleet of Shared Electric Vehicles.

Steffen Limmer, Johannes Varga, Günther R. Raidl

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

2022

Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy.

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

CoRR, 2022

Computational Methods for Scheduling the Charging and Assignment of an On-Site Shared Electric Vehicle Fleet.

Johannes Varga, Günther R. Raidl, Steffen Limmer

IEEE Access, 2022

Investigating the Use of Linear Programming and Evolutionary Algorithms for Multi-Objective Electric Vehicle Charging Problem.

Hemant Kumar Singh, Tapabrata Ray, Md Juel Rana, Steffen Limmer, Tobias Rodemann, Markus Olhofer

IEEE Access, 2022

2021

Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization.

Yali Wang, Steffen Limmer, Markus Olhofer, Michael Emmerich, Thomas Bäck

Swarm Evol. Comput., 2021

Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach.

Steffen Limmer, Fernando Lezama, João P. Soares, Zita A. Vale

IEEE Access, 2021

A Combination of Fourier Transform and Machine Learning for Fault Detection and Diagnosis of Induction Motors.

Van Duc Nguyen, Ewout Zwanenburg, Steffen Limmer, Wessel Luijben, Thomas Bäck, Markus Olhofer

Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

2020

Interpretable Control by Reinforcement Learning.

Daniel Hein, Steffen Limmer, Thomas A. Runkler

CoRR, 2020

Optimizing the Hyperparameters of a Mixed Integer Linear Programming Solver to Speed up Electric Vehicle Charging Control.

Takahiro Ishihara, Steffen Limmer

Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

2019

Automated Machine Learning for Short-term Electric Load Forecasting.

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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A tabu search-based memetic algorithm for the multi-objective flexible job shop scheduling problem.

Marios Kefalas, Steffen Limmer, Asteris Apostolidis, Markus Olhofer, Michael Emmerich, Thomas Bäck

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Vehicle Fleet Maintenance Scheduling Optimization by Multi-objective Evolutionary Algorithms.

Yali Wang, Steffen Limmer, Markus Olhofer, Michael T. M. Emmerich, Thomas Bäck

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

A Neural Architecture for Bayesian Compressive Sensing Over the Simplex via Laplace Techniques.

Steffen Limmer, Slawomir Stanczak

IEEE Trans. Signal Process., 2018

Optimization of Dynamic Prices for Electric Vehicle Charging Considering Fairness.

Steffen Limmer, Manuel Dietrich

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Robust Evolutionary Optimization Based on Coevolution.

Steffen Limmer, Tobias Rodemann

Proceedings of the Applications of Evolutionary Computation, 2018

Distributed Machine Learning in the Context of Function Computation over Wireless Networks.

Miruna Raceala-Motoc, Steffen Limmer, Igor Bjelakovic, Slawomir Stanczak

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Optimal deep neural networks for sparse recovery via Laplace techniques.

Steffen Limmer, Slawomir Stanczak

CoRR, 2017

Comparison of common parallel architectures for the execution of the island model and the global parallelization of evolutionary algorithms.

Steffen Limmer, Dietmar Fey

Concurr. Comput. Pract. Exp., 2017

Multi-objective optimization of plug-in electric vehicle charging prices.

Steffen Limmer, Tobias Rodemann

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016

Towards optimal nonlinearities for sparse recovery using higher-order statistics.

Steffen Limmer, Slawomir Stanczak

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Investigation of strategies for an increasing population size in multi-objective CMA-ES.

Steffen Limmer, Dietmar Fey

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Vergleich gebräuchlicher Parallelrechensysteme für die Beschleunigung evolutionärer Algorithmen demonstriert für den Entwurf miniaturisierter optischer und elektronischer Bauelemente.

Steffen Limmer

PhD thesis, 2015

A simple algorithm for approximation by nomographic functions.

Steffen Limmer, Jafar Mohammadi, Slawomir Stanczak

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

Services for numerical simulations and optimisations in grids.

Steffen Limmer, André Schneider, Christian Boehme, Dietmar Fey, Simon Schmitz, Achim Graupner, Martin Sülzle

Int. J. Parallel Emergent Distributed Syst., 2014

On ℓ_p-norm Computation over Multiple-Access Channels.

Steffen Limmer, Slawomir Stanczak

CoRR, 2014

On ℓp-norm computation over multiple-access channels.

Steffen Limmer, Slawomir Stanczak

Proceedings of the 2014 IEEE Information Theory Workshop, 2014

Performance Investigation and Tuning in the Interoperable Cloud4E Platform.

Steffen Limmer, Maik Srba, Dietmar Fey

Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014

2013

Performance investigations of genetic algorithms on graphics cards.

Johannes Hofmann, Steffen Limmer, Dietmar Fey

Swarm Evol. Comput., 2013

Exploiting interference for efficient distributed computation in cluster-based wireless sensor networks.

Steffen Limmer, Slawomir Stanczak, Mario Goldenbaum, Renato L. G. Cavalcante

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012

Evolutionary Design of Active Free Space Optical Networks Based on Digital Mirror Devices.

Steffen Limmer, Dietmar Fey, Ulrich Lohmann, Jürgen Jahns

Proceedings of the Applications of Evolutionary Computation, 2012

2011

Evolutionary optimization of layouts for high density free space optical network links.

Steffen Limmer, Dietmar Fey, Ulrich Lohmann, Jürgen Jahns

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

Unconventional Computing - Reversible Signed Digit Adders for Future Nanocomputing Devices (Unkonventionelles Rechnen - reversible Addierer für künftiges Nanocomputing).

Dietmar Fey, Steffen Limmer

it Inf. Technol., 2010

Simulation and Optimized Design of High Density Optical Crossconnect Systems for Massively Parallel Computing Architectures.

Ulrich Lohmann, Jürgen Jahns, Steffen Limmer, Dietmar Fey

Proceedings of the Optical Supercomputing - Third International Workshop, 2010

Framework for Distributed Evolutionary Algorithms in Computational Grids.

Steffen Limmer, Dietmar Fey

Proceedings of the Advances in Computation and Intelligence - 5th International Symposium, 2010