| Hybridization of multi-objective evolutionary algorithms and artificial neural networks for optimizing the performance of electrical drives AC Zăvoianu, G Bramerdorfer, E Lughofer, S Silber, W Amrhein, ... Engineering Applications of Artificial Intelligence 26 (8), 1781-1794, 2013 | 93 | 2013 |
| Surrogate-Based Multi-Objective Optimization of Electrical Machine Designs Facilitating Tolerance Analysis G Bramerdorfer, AC Zavoianu IEEE Transactions on Magnetics 53 (8), 8107611, 2017 | 74 | 2017 |
| DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm AC Zăvoianu, E Lughofer, G Bramerdorfer, W Amrhein, EP Klement Soft Computing 19 (12), 3551–3569, 2014 | 60 | 2014 |
| Possibilities for Speeding Up the FE-based Optimization of Electrical Machines–A Case Study G Bramerdorfer, AC Zavoianu, S Silber, E Lughofer, W Amrhein IEEE Transactions on Industry Applications 52 (6), 4668 - 4677, 2016 | 48 | 2016 |
| Improved fault detection employing hybrid memetic fuzzy modeling and adaptive filters F Serdio, E Lughofer, AC Zavoianu, K Pichler, M Pichler, T Buchegger, ... Applied Soft Computing 51, 60-82, 2017 | 41 | 2017 |
| Autonomous supervision and optimization of product quality in a multi-stage manufacturing process based on self-adaptive prediction models E Lughofer, AC Zavoianu, R Pollak, M Pratama, P Meyer-Heye, H Zörrer, ... Journal of Process Control 76, 27-45, 2019 | 38 | 2019 |
| Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality E Lughofer, R Pollak, AC Zavoianu, M Pratama, P Meyer-Heye, H Zörrer, ... Engineering Applications of Artificial Intelligence 68, 131-151, 2018 | 38 | 2018 |
| Performance comparison of generational and steady-state asynchronous multi-objective evolutionary algorithms for computationally-intensive problems AC Zăvoianu, E Lughofer, W Koppelstätter, G Weidenholzer, W Amrhein, ... Knowledge-Based Systems 87, 47-60, 2015 | 35 | 2015 |
| On the Performance of Master-Slave Parallelization Methods for Multi-Objective Evolutionary Algorithms AC Zăvoianu, E Lughofer, W Koppelstätter, G Weidenholzer, W Amrhein, ... International Conference on Artificial Intelligence and Soft Computing …, 2013 | 29 | 2013 |
| On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks E Lughofer, AC Zavoianu, R Pollak, M Pratama, P Meyer-Heye, H Zörrer, ... Information sciences 537, 425-451, 2020 | 24 | 2020 |
| Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems A Liefooghe, S Verel, B Lacroix, AC Zăvoianu, J McCall Proceedings of the Genetic and Evolutionary Computation Conference, 421-429, 2021 | 20 | 2021 |
| A Hybrid Soft Computing Approach for Optimizing Design Parameters of Electrical Drives AC Zăvoianu, G Bramerdorfer, E Lughofer, S Silber, W Amrhein, ... Soft Computing Models in Industrial and Environmental Applications (SOCO …, 2013 | 20 | 2013 |
| Efficient multi-objective optimization using 2-population cooperative coevolution AC Zăvoianu, E Lughofer, W Amrhein, EP Klement International Conference on Computer Aided Systems Theory (EUROCAST 2013 …, 2013 | 16 | 2013 |
| An Effective Ensemble-Based Method for Creating On-the-Fly Surrogate Fitness Functions for Multi-Objective Evolutionary Algorithms AC Zavoianu, E Lughofer, G Bramerdorfer, W Amrhein, EP Klement International Symposium on Symbolic and Numeric Algorithms for Scientific …, 2013 | 16 | 2013 |
| Speed improvements for the optimization of electrical machines - A survey G Bramerdorfer, AC Zavoianu, S Silber, E Lughofer, W Amrhein 2015 IEEE International Electric Machines & Drives Conference (IEMDC), 1748-1754, 2015 | 11 | 2015 |
| A surrogate-based strategy for multi-objective tolerance analysis in electrical machine design AC Zavoianu, E Lughofer, G Bramerdorfer, W Amrhein, S Saminger-Platz 2015 17th International Symposium on Symbolic and Numeric Algorithms for …, 2015 | 10 | 2015 |
| Multi-objective knowledge-based strategy for process parameter optimization in micro-fluidic chip production AC Zăvoianu, E Lughofer, R Pollak, P Meyer-Heye, C Eitzinger, ... 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 9 | 2017 |
| Potential identification and industrial evaluation of an integrated design automation workflow D Entner, T Prante, T Vosgien, AC Zăvoianu, S Saminger-Platz, ... Journal of Engineering, Design and Technology 17 (6), 1085-1109, 2019 | 8 | 2019 |
| On the optimization of 2D path network layouts in engineering designs via evolutionary computation techniques AC Zăvoianu, S Saminger-Platz, D Entner, T Prante, M Hellwig, ... Evolutionary and deterministic methods for design optimization and control …, 2019 | 7 | 2019 |
| Improving the parsimony of regression models for an enhanced genetic programming process AC Zăvoianu, G Kronberger, M Kommenda, D Zaharie, M Affenzeller International Conference on Computer Aided Systems Theory (EUROCAST 2011 …, 2012 | 7* | 2012 |
Edwin LughoferJohannes Kepler University LinzVerified email at jku.at
