Publications

Books and Book Chapters as Author / Co-author

  • Paul Kaufmann. Multikriterielle Evolution adaptiver eingebetteter Systeme. In Steffen Hölldobler (editor): Ausgezeichnete Informatikdissertationen 2013. LNI. 2014, GI.
  • Paul Kaufmann. Adapting Hardware Systems by Means of Multi-Objective Evolution. 2013, Logos Verlag. PDF
  • Paul Kaufmann and Marco Platzner. Multi-objective Intrinsic Evolution of Embedded Systems. In Christian Müller-Schloer, Hartmut Schmeck and Theo Ungerer (editors): Organic Computing—A Paradigm Shift for Complex Systems. Autonomic Systems. 2011, Springer Basel. PDF | DOI
  • Lukas Sekanina, James Alfred Walker, Paul Kaufmann, Christian Plessl and Marco Platzner. Evolution of Electronic Circuits. In Cartesian Genetic Programming. Natural Computing Series. 2011, Springer Berlin Heidelberg. PDF | DOI
  • James Alfred Walker, Julian F. Miller, Paul Kaufmann and Marco Platzner. Problem Decomposition in Cartesian Genetic Programming. In Cartesian Genetic Programming. Natural Computing Series. 2011, Springer Berlin Heidelberg. PDF | DOI

 

Books as Editor

  • P. Kaufmann and P. Castillo, editors. Applications of Evolutionary Computation - 22nd International Conference, EvoApplications 2019, Leipzig, Germany, April 24-26, 2019, Proceedings, volume 11454 of Lecture Notes in Computer Science. Springer, 2019. DOI
  • K. Sim and P. Kaufmann, editors. Applications of Evolutionary Computation - 21st International Conference, EvoApplications 2018, Parma, Italy, April 4-6, 2018, Proceedings, volume 10784 of Lecture Notes in Computer Science. Springer, 2018. DOI
  • Giovanni Squillero, Paolo Burelli, Antonio M. Mora, Alexandros Agapitos, William S. Bush, Stefano Cagnoni, Carlos Cotta, Ivanoe De Falco, Antonio Della Cioppa, Federico Divina, A.E. Eiben, Anna I. Esparcia-Alcázar, Francisco Fernández de Vega, Kyrre Glette, Evert Haasdijk, J. Ignacio Hidalgo, Michael Kampouridis, Paul Kaufmann, Michalis Mavrovouniotis, Trung Thanh Nguyen, Robert Schaefer, Kevin Sim, Ernesto Tarantino, Neil Urquhart and Mengjie Zhang (editors). Applications of Evolutionary Computation - 20th European Conference, EvoApplications. Lecture Notes in Computer Science. 2017, Springer. DOI
  • Giovanni Squillero, Paolo Burelli, Antonio M. Mora, Alexandros Agapitos, William S. Bush, Stefano Cagnoni, Carlos Cotta, Ivanoe De Falco, Antonio Della Cioppa, Federico Divina, A.E. Eiben, Anna I. Esparcia-Alcázar, Francisco Fernández de Vega, Kyrre Glette, Evert Haasdijk, J. Ignacio Hidalgo, Michael Kampouridis, Paul Kaufmann, Michalis Mavrovouniotis, Trung Thanh Nguyen, Robert Schaefer, Kevin Sim, Ernesto Tarantino, Neil Urquhart and Mengjie Zhang (editors). Applications of Evolutionary Computation - 19th European Conference, EvoApplications. Lecture Notes in Computer Science. 2016, Springer. DOI
  • Antonio M. Mora, Giovanni Squillero, Alexandros Agapitos, Paolo Burelli, William S. Bush, Stefano Cagnoni, Carlos Cotta, Ivanoe De Falco, Antonio Della Cioppa, Federico Divina, A.E. Eiben, Anna I. Esparcia-Alcázar, Francisco Fernández de Vega, Kyrre Glette, Evert Haasdijk, J. Ignacio Hidalgo, Michael Kampouridis, Paul Kaufmann, Michalis Mavrovouniotis, Trung Thanh Nguyen, Robert Schaefer, Kevin Sim, Ernesto Tarantino, Neil Urquhart and Mengjie Zhang (editors). Applications of Evolutionary Computation - 18th European Conference, EvoApplications. Lecture Notes in Computer Science. 2015, Springer. DOI

 

Journal papers

  • N. Ho, P. Kaufmann, and M. Platzner. Evolution of Application-Specific Cache Mappings. In International Journal of Hybrid intelligent Systems. IOS Press, 2020.
  • Cong Shen, Paul Kaufmann and Martin Braun. Three-Stage Power System Restoration Methodology Considering Renewable Energies. Elsevier International Journal of Electrical Power and Energy Systems (IJEPES), 2017. PDF | DOI
  • Cong Shen, Paul Kaufmann and Martin Braun. Fast Network Restoration by Partitioning of Parallel Black Start Zones. The Journal of Engineering, page 19pp, 2017. PDF | DOI
  • Chenjie Ma, Paul Kaufmann, J.-Christian Töbermann and Martin Braun. Optimal Generation Dispatch of Distributed Generators Considering Fair Contribution to Grid Voltage Control. Renewable Energy, 87(part 2):946–953, Elsevier, 2016. PDF | DOI
  • Paul Kaufmann, Kyrre Glette, Tiemo Gruber, Marco Platzner, Jim Torresen and Bernhard Sick. Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers. IEEE Transactions on Evolutionary Computation, 17(1):46–63, 2013. PDF | DOI
  • Paul Kaufmann, Kyrre Glette, Marco Platzner and Jim Torresen. Compensating Resource Fluctuations by Means of Evolvable Hardware: The Run-Time Reconfigurable Functional Unit Row Classifier Architecture. International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS), 3(4):17–31, IGI Global, 2012. PDF | DOI

 

Guest Editor

  • H. Richter and P. Kaufmann, editors. Special Issue EvoStar 2019: Bio-Inspired Computing and Automation, volume 68. De Gruyter, 2020. DOI
  • P. Kaufmann, O. Kramer, F. Neumann, and M. Wagner, editors. Special Issue Optimization methods in renewable energy systems design, volume 87, 2016. Optimization Methods in Renewable Energy Systems Design. 113 submissions, 13% acceptance rate. DOI

Refereed conference papers

  • T. Hansmeier, P. Kaufmann, and M. Platzner. An Adaption Mechanism for the Error Threshold of XCSF. In Workshop on Learning Classifier Systems at the Genetic and Evolutionary Computation Conference (IWLCS at GECCO), pages 1756–1764, 2020.
  • Z. Guetttatfi, P. Kaufmann, and M. Platzner. Optimal and Greedy Heuristic Approaches for Scheduling and Mapping of Hardware Tasks to Reconfigurable Computing Devices. In Applied Reconfigurable Computing. Architectures, Tools, and Applications(ARC), volume 12083 of Lecture Notes in Computer Science (LNCS), pages 108–117. Springer, 2020. DOI
  • T. Hansmeier, P. Kaufmann, and M. Platzner. Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold. In Genetic and Evolutionary Computation Conference Companion (GECCO ’20 Companion), pages 125–126. ACM, 2020.
  • P. Kaufmann and R. Kalkreuth. On the Parameterization of Cartesian Genetic Programming. In IEEE Congress on Evolutionary Computation (CEC). Accepted as full paper for publication in the conference proceedings. IEEE, 2020.
  • L. Sotto, P. Kaufmann, T. Atkinson, R. Kalkreuth, and M. Basgalupp. A Study on Graph Representations for Genetic Programming. In Genetic and Evolutionary Computation (GECCO), pages 931–939. ACM, 2020.
  • N. Ho, P. Kaufmann, and M. Platzner. Optimization of Application-specific L1 Cache Translation Functions of the LEON3 Processor. In 9th World Congress on Nature and Biologically Inspired Computing (NaBIC), Advances in Nature and Biologically Inspired Computing. Accepted as full paper for publication in the conference proceedings. Springer, 2019.
  • Nam Ho, Ishraq Ibne Ashraf, Paul Kaufmann and Marco Platzner. Accurate Private/Shared Classification of Memory Accesses: a Run-time Analysis System for the LEON3 Multi-core Processor. In Proc. Design, Automation and Test in Europe Conf. (DATE), 2017. PDF | DOI
  • Paul Kaufmann and Roman Kalkreuth. Parametrizing Cartesian Genetic Programming: An Empirical Study. In KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, 2017. Springer International Publishing. PDF | DOI
  • Paul Kaufmann, Nam Ho and Marco Platzner. Evaluation Methodology for Complex Non-deterministic Functions: A Case Study in Metaheuristic Optimization of Caches. In Adaptive Hardware and Systems (AHS), 2017. IEEE. PDF | DOI
  • Paul Kaufmann and Roman Kalkreuth. An Empirical Study on the Parametrization of Cartesian Genetic Programming. In Genetic and Evolutionary Computation (GECCO), Compendium, 2017. ACM. PDF | DOI
  • N.am Ho, Paul Kaufmann, and Marco Platzner. Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/linux-based multi-core processor. International Conference on Field Programmable Technology (ICFPT), pages 215–218, 2017.
  • Nam Ho, Abdullah Fathi Ahmed, Paul Kaufmann and Marco Platzner. Microarchitectural optimization by means of reconfigurable and evolvable cache mappings. In Proc. NASA/ESA Conf. Adaptive Hardware and Systems (AHS), pages 1–7, June 2015. PDF | DOI
  • Paul Kaufmann and Cong Shen. Generator Start-up Sequences Optimization for Network Restoration Using Genetic Algorithm and Simulated Annealing. In Genetic and Evolutionary Computation (GECCO), pages 409–416, 2015. ACM. PDF | DOI
  • Nam Ho, Paul Kaufmann and Marco Platzner. Towards self-adaptive caches: A run-time reconfigurable multi-core infrastructure. In 2014 IEEE Intl. Conf. on Evolvable Systems (ICES), pages 31–37, December 2014. PDF | DOI
  • Nam Ho, Paul Kaufmann and Marco Platzner. A hardware/software infrastructure for performance monitoring on LEON3 multicore platforms. In 24th Intl. Conf. on Field Programmable Logic and Applications (FPL), pages 1–4, September 2014. PDF | DOI
  • Kyrre Glette and Paul Kaufmann. Lookup Table Partial Reconfiguration for an Evolvable Hardware Classifier System. In IEEE Congress on Evolutionary Computation (CEC), 2014. PDF | DOI
  • Cong Shen, Paul Kaufmann and Martin Braun. Optimizing the Generator Start-up Sequence After a Power System Blackout. In IEEE Power and Energy Society General Meeting (IEEE GM), 2014. PDF | DOI
  • Cong Shen, Paul Kaufmann and Martin Braun. A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm. In Power Systems Computation Conference (PSCC), 2014. IEEE. PDF | DOI
  • Kyrre Glette, Paul Kaufmann, Christopher Assad and Michael Wolf. Investigating Evolvable Hardware Classification for the BioSleeve Electromyographic Interface. In IEEE Intl. Conf. on Evolvable Systems (ICES), pages 1–1, 2013. Springer. LNCS. PDF | DOI
  • Christian Toebermann, Daniel Geibel, Manuel Hau, Ron Brandl, Paul Kaufmann, Chenjie Ma, Martin Braun and Tobias Degner. Real-Time Simulation of Distribution Grids with high Penetration of Regenerative and Distributed Generation. In Real-Time Conference, 2013. OPAL RT Paris.
  • Alexander Boschmann, Paul Kaufmann and Marco Platzner. Accurate gait phase detection using surface electromyographic signals and support vector machines. In Proc. IEEE Int. Conf. Bioinformatics and Biomedical Technology (ICBBT), 2011. PDF
  • Paul Kaufmann, Kevin Englehart and Marco Platzner. Fluctuating EMG Signals: Investigating Long-term Effects of Pattern Matching Algorithms. In International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 6357–6360, 2010. IEEE. PDF | DOI
  • Paul Kaufmann, Tobias Knieper and Marco Platzner. A Novel Hybrid Evolutionary Strategy and its Periodization with Multi-objective Genetic Optimizers. In IEEE World Congress on Computational Intelligence (WCCI), Congress on Evolutionary Computation (CEC), pages 541–548, 2010. IEEE. PDF | DOI
  • Tobias Knieper, Paul Kaufmann, Kyrre Glette, Marco Platzner and Jim Torresen. Coping with Resource Fluctuations: The Run-time Reconfigurable Functional Unit Row Classifier Architecture. In IEEE Intl. Conf. on Evolvable Systems (ICES), pages 250–261, 2010. Springer. LNCS. PDF | DOI
  • Paul Kaufmann, Christian Plessl and Marco Platzner. EvoCaches: Application-specific Adaptation of Cache Mappings. In IEEE Adaptive Hardware and Systems (AHS), pages 11–18, 2009. IEEE Computer Society. PDF | DOI
  • Kyrre Glette, Thiemo Gruber, Paul Kaufmann, Jim Torresen, Bernhard Sick and Marco Platzner. Comparing Evolvable Hardware to Conventional Classifiers for Electromyographic Prosthetic Hand Control. In IEEE Adaptive Hardware and Systems (AHS), pages 32–39, 2008. IEEE. PDF | DOI
  • Kyrre Glette, Jim Torresen, Paul Kaufmann and Marco Platzner. A Comparison of Evolvable Hardware Architectures for Classification Tasks. In IEEE Intl. Conf. on Evolvable Systems (ICES), pages 22–33, 2008. Springer. LNCS. PDF | DOI
  • Paul Kaufmann and Marco Platzner. Advanced Techniques for the Creation and Propagation of Modules in Cartesian Genetic Programming. In Genetic and Evolutionary Computation (GECCO), pages 1219–1226, 2008. ACM Press. PDF | DOI
  • Tobias Knieper, Bertrand Defo, Paul Kaufmann and Marco Platzner. On Robust Evolution of Digital Hardware. In Biologically Inspired Collaborative Computing (BICC), pages 2313–222, 2008. Springer. IFIP International Federation for Information Processing. PDF | DOI
  • Tobias Schumacher, Robert Meiche, Paul Kaufmann, Enno Lübbers, Christian Plessl and Marco Platzner. A Hardware Accelerator for k-th Nearest Neighbor Thinning. In Proc. Intl. Conf. on Engineering of Reconfigurable Systems & Algorithms (ERSA), pages 245–251, 2008. CSREA Press. PDF
  • Paul Kaufmann and Marco Platzner. MOVES: A Modular Framework for Hardware Evolution. In IEEE Adaptive Hardware and Systems (AHS), pages 447–454, 2007. IEEE. PDF | DOI
  • Paul Kaufmann and Marco Platzner. Toward Self-adaptive Embedded Systems: Multi-objective Hardware Evolution. In Architecture of Computing Systems (ARCS), pages 199–208, 2007. Springer. LNCS. PDF | DOI
  • Tobias Schumacher, Enno Lübbers, Paul Kaufmann and Marco Platzner. Accelerating the Cube Cut Problem with an FPGA-Augmented Compute Cluster. In Parallel Computing: Architectures, Algorithms and Applications (PARCO), pages 749–756, 2007. IOS Press. Advances in Parallel Computing. PDF
  • Paul Kaufmann and Marco Platzner. Multi-objective Intrinsic Hardware Evolution. In Intl. Conf. Military Applications of Programmable Logic Devices (MAPLD), 2006. PDF

 

Invited papers

  • Marco Platzner, Alexander Boschmann, and Paul Kaufmann. Wieder natürlich Gehen und greifen. ForschungsForum Paderborn, 15:6–11, 2012.
  • Alexander Boschmann, Paul Kaufmann, Marco Platzner and Michael Winkler. Towards multi-movement hand prostheses: Combining adaptive classification with high precision sockets. In Proc. Technically Assisted Rehabilitation (TAR), 2009. PDF

Preprints

  • Roman Kalkreuth and Paul Kaufmann. Covid-19: A survey on public medical imaging data resources. arXiv:2004.04569, 2020.