Skip to Content

Ciprian Zavoianu

Ciprian Zavoianu's picture
  • University Assistant at JKU Linz since March 2015
  • Researcher at FLLL since July 2011
ciprian.zavoianu@jku.at FLLL/JKU +43 (0) 7236 3343 - 432

Personal homepage
If you want to take a quick look on some of my work over the years please check out my weblog.
 
Research interests

  • metaheuristics and optimization
    • evolutionary computing (ES, GA, GP)
    • population based techniques (ACO, PSO)
    • memetic algorithms
  • machine learning
  • data mining methods
  • parallel / distributed computing

 
Articles in Peer Reviewed Journals

  1. Francisco Serdio, Edwin Lughofer, Alexandru-Ciprian Zăvoianu, Kurt Pichler, Markus Pichler, Thomas Buchegger, Hajrudin Efendic:  Improved Fault Detection employing Hybrid Memetic Fuzzy Modeling and Adaptive Filters, Applied Soft Computingto appear, Elsevier Ltd., 2017. 

    [For a preprint of the article, please contact the first author.]

  2. Gerd Bramerdorfer,  Alexandru-Ciprian Zăvoianu, Sigfried Silber, Edwin Lughofer, Wolfgang Amrhein:  Possibilities for Speeding Up the FE-based Optimization of Electrical Machines - A Case Study, IEEE Transactions on Industry Applications, Volume 52, Issue 6, pages 4668-4677, IEEE, 2016. 

    [For a preprint of the article, please contact the first author. The original publication is available at the IEEE Xplore website.]

  3. Alexandru-Ciprian Zăvoianu, Edwin Lughofer, Werner Koppelstätter, Günther Weidenholzer, Wolfgang Amrhein, Erich Peter Klement:  Performance Comparison of Generational and Steady-State Asynchronous Multi-Objective Evolutionary Algorithms for Computationally-Intensive Problems, Knowledge-Based Systems, Volume 87,  pages 47-60, Elsevier Ltd., 2015. 

    [preprintVersion.pdf - The original publication is available at elsevier.com.]

  4. Alexandru-Ciprian Zăvoianu, Edwin Lughofer, Gerd Bramerdorfer, Wolfgang Amrhein, Erich Peter Klement:  DECMO2: A Robust Hybrid and Adaptive Multi-Objective Evolutionary AlgorithmSoft Computing, Volume 19, Issue 12, pages 3551-3569, Springer Berlin Haidelberg, 2015. 

    [preprintVersion.pdf - The final publication is available at Springer via http://dx.doi.org/10.1007/s00500-014-1308-7.]

  5. Alexandru-Ciprian Zăvoianu, Gerd Bramerdorfer, Edwin Lughofer, Siegfried Silber, Wolfgang Amrhein, Erich Peter Klement:  Hybridization of multi-objective evolutionary algorithms and artificial neural networks for optimizing the performance of electrical drivesEngineering Applications of Artificial Intelligence, Volume 26, Issue 8, pages 1781-1794, Elsevier Ltd., 2013. 

    [preprintVersion.pdf - The original publication is available at elsevier.com.]

Articles in Edited Volumes / Proceedings of Peer Reviewed Conferences

  1. Alexandru-Ciprian Zăvoianu, Edwin Lughofer, Gerd Bramerdorfer, Wolfgang Amrhein, Susanne Saminger-Platz:  A Surrogate-Based Strategy for Multi-Objective Tolerance Analysis in Electrical Machine DesignProceedings of the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2015), pages 195-203. IEEE Computer Society Conference Publishing Services (CPS), 2015.

    [preprint.pdf - The original publication is available at the IEEE Xplore website.]

  2. Gerd Bramerdorfer, Alexandru-Ciprian Zăvoianu, Sigfried Silber, Edwin Lughofer, Wolfgang Amrhein: Speed Improvements for the Optimization of Electrical Machines - A SurveyIEMDC 2015, 10th IEEE International Electric Machines and Drives Conference, pages 1748-1754. Coeur d’Alène, Idaho, USA, 2015.

    [For a preprint of the article, please contact the first author.]

  3. Francisco Serdio, Alexandru-Ciprian Zăvoianu, Edwin Lughofer, Kurt Pichler, Thomas Buchegger, Hajrudin Efendic: Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault DetectionWorld Congress on Natural and Biologically Inspired Computing (NaBIC 2014), pages 91-96. Porto, Portugal, 2014.

    [For a preprint of the article, please contact the first author.]

  4. Alexandru-Ciprian Zăvoianu, Edwin Lughofer, Gerd Bramerdorfer, Wolfgang Amrhein, Erich Peter Klement: 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 (SYNASC 2013), pages 237-244. IEEE Computer Society Conference Publishing Services (CPS), 2014. 

    [preprint.pdf - The original publication is available at the IEEE Xplore website.]

  5. Alexandru-Ciprian Zăvoianu, Edwin Lughofer, Wolfgang Amrhein, Erich Peter Klement: Efficient Multi-Objective Optimization Using 2-Population Cooperative Coevolution, In Roberto Moreno-Diaz et al. editors, Computer Aided Systems Theory - EUROCAST 2013, volume 8111 of Lecture Notes in Computer Science, pages 251-258. Springer Berlin Haidelberg, 2013. 

    [preprint.pdf - The original publication is available at www.springerlink.com.]

  6. Alexandru-Ciprian Zăvoianu, Edwin Lughofer, Werner Koppelstätter, Günther Weidenholzer, Wolfgang Amrhein, Erich Peter Klement: On the Performance of Master-Slave Parallelization Methods for Multi-Objective Evolutionary Algorithms, In Leszek Rutkowski et al. editors, Artificial Intelligence and Soft Computing, volume 7895 of Lecture Notes in Artificial Intelligence, pages 122-134. Springer Berlin Haidelberg, 2013. 

    [preprint.pdf The original publication is available at www.springerlink.com.]

  7. Alexandru-Ciprian Zăvoianu, Gerd Bramerdorfer, Edwin Lughofer, Siegfried Silber, Wolfgang Amrhein, Erich Peter Klement: A Hybrid Soft Computing Approach for Optimizing Design Parameters of Electrical Drives, In Václav Snášel et al. editors, Soft Computing Models in Industrial and Environmental Applications , volume 188 of Advances in Intelligent Systems and Computing, pages 347-358. Springer Berlin Haidelberg, 2013. 

    [preprint.pdf - The original publication is available at www.springerlink.com.]

  8. Alexandru-Ciprian Zăvoianu, Gabriel Kronberger, Michael Kommenda, Daniela Zaharie, Michael Affenzeller: Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process, In Roberto Moreno-Diaz et al. editors, Computer Aided Systems Theory - EUROCAST 2011, volume 6927 of Lecture Notes in Computer Science, pages 264-271. Springer Berlin Heidelberg, 2012. 

    [preprint.pdf - The original publication is available at www.springerlink.com.]

  9. Alexandru-Ciprian Zăvoianu, Ciprian-Dorin Crăciun: On Sensor Data Simulation, In Stephen Watt et al. editors, Proceedings of the 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2009), pages 420-425. IEEE Computer Press, 2009.

    [preprint.pdf - The original publication is available at the IEEE Xplore website.]

 
Theses

  1. Alexandru-Ciprian Zăvoianu Enhanced Evolutionary Algorithms for Solving Computationally-Intensive Multi-Objective Optimization ProblemsPhD Thesis, Johannes Kepler University Linz, January 2015.

    [A preprint will be made available shortly - The original publication is available at the JKU Library.]

  2. Alexandru-Ciprian Zăvoianu Towards Solution Parsimony in an Enhanced Genetic Programming Process, Master's Thesis, Johannes Kepler University Linz, July 2010.

    [preprint.pdf - The original publication is available at the JKU Library.]

 
Other information
OpenPGP: 0x7EEEAEAA