Gerd Bramerdorfer
Orcid: 0000-0002-0987-7306
According to our database1,
Gerd Bramerdorfer
authored at least 23 papers
between 2012 and 2024.
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Bibliography
2024
A Multi-Objective Evolutionary Approach to Discover Explainability Tradeoffs when Using Linear Regression to Effectively Model the Dynamic Thermal Behaviour of Electrical Machines.
ACM Trans. Evol. Learn. Optim., March, 2024
2023
Optimising Linear Regression for Modelling the Dynamic Thermal Behaviour of Electrical Machines using NSGA-II, NSGA-III and MOEA/D.
Proceedings of the 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2023
2022
Comprehensive Design and Analysis of an Interior Permanent Magnet Synchronous Machine for Light-Duty Passenger EVs.
IEEE Access, 2022
2021
Topology Optimization of Rotor Bars Geometry and Arrangement for a Line-Start Permanent Magnet Synchronous Machine.
IEEE Access, 2021
2020
Analysis of a Tooth-Coil Winding Permanent-Magnet Synchronous Machine With an Unequal Teeth Width.
IEEE Access, 2020
2019
On Modeling the Dynamic Thermal Behavior of Electrical Machines Using Genetic Programming and Artificial Neural Networks.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019
2018
Analytical Modeling and Optimization for Electromagnetic Performances of Fractional-Slot PM Brushless Machines.
IEEE Trans. Ind. Electron., 2018
Modern Electrical Machine Design Optimization: Techniques, Trends, and Best Practices.
IEEE Trans. Ind. Electron., 2018
2017
IEEE Trans. Ind. Electron., 2017
Multi-objective Topology Optimization of Electrical Machine Designs Using Evolutionary Algorithms with Discrete and Real Encodings.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017
2016
Impact of IM pole count on material cost increase for achieving mandatory efficiency requirements.
Proceedings of the IECON 2016, 2016
2015
Soft Comput., 2015
A Surrogate-Based Strategy for Multi-objective Tolerance Analysis in Electrical Machine Design.
Proceedings of the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015
2014
Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs.
IEEE Trans. Ind. Electron., 2014
Identification of a nonlinear PMSM model using symbolic regression and its application to current optimization scenarios.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014
2013
Hybridization of multi-objective evolutionary algorithms and artificial neural networks for optimizing the performance of electrical drives.
Eng. Appl. Artif. Intell., 2013
An Effective Ensemble-Based Method for Creating On-the-Fly Surrogate Fitness Functions for Multi-objective Evolutionary Algorithms.
Proceedings of the 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2013
PMSM for high demands on low torque ripple using optimized stator phase currents controlled by an iterative learning control algorithm.
Proceedings of the IECON 2013, 2013
2012
A Hybrid Soft Computing Approach for Optimizing Design Parameters of Electrical Drives.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012