Gerd Bramerdorfer

According to our database1, Gerd Bramerdorfer authored at least 19 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Analysis of a Tooth-Coil Winding Permanent-Magnet Synchronous Machine With an Unequal Teeth Width.
IEEE Access, 2020

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

Analytical Modeling and Optimization for Electromagnetic Performances of Fractional-Slot PM Brushless Machines.
IEEE Trans. Ind. Electron., 2018

Optimization of Electric Machine Designs - Part II.
IEEE Trans. Ind. Electron., 2018

Modern Electrical Machine Design Optimization: Techniques, Trends, and Best Practices.
IEEE Trans. Ind. Electron., 2018

Optimization of Electric Machine Designs-Part I.
IEEE Trans. Ind. Electron., 2017

Accurate and Easy-to-Obtain Iron Loss Model for Electric Machine Design.
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

Coupled optimization in MagOpt.
J. Systems & Control Engineering, 2016

Impact of IM pole count on material cost increase for achieving mandatory efficiency requirements.
Proceedings of the IECON 2016, 2016

DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm.
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

Measurement-based nonlinear modeling of PMSMs.
Proceedings of the IECON 2015, 2015

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

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

A Hybrid Soft Computing Approach for Optimizing Design Parameters of Electrical Drives.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012