Evolvable Hardware Research Group

Inspired by nature we develop highly optimized hardware and software. EHW group members have a strong expertise and international reputation in bio-inspired methods and models (such as genetic and evolutionary computing, neurocomputing and cellular computing), digital circuit design, FPGA technology, and approximate computing. Applications of these methods include automated logic synthesis and optimization, adaptive hardware, and automated design and optimizations for image processing, security applications, road traffic systems and computer circuits.

Research interests

  • bio-inspired hardware and software
  • approximate computing
  • evolutionary logic synthesis and optimization
  • evolvable hardware in FPGAs, neurocomputers
  • cellular automata and their applications
  • applications of evolutionary algorithms in computer engineering

Current research themes

Evolutionary design, optimization and approximation of digital circuits, neurocomputers, evolvable hardware in FPGAs, evolution of cellular automata, genetic programming. 

Significant results

  • Czech Science Foundation President Award 2017 for excellent results of the Advanced Methods for Evolutionary Design of Complex Digital Circuits project (press info, youtube video)
  • 1 Gold, 3 Silver and 1 Bronze medals from the Humies competitions annually organized at GECCO conference series.
  • Best paper/presentation awards on international conferences: DATE 2017, ECTA 2016, EuroGP 2015, AHS 2013, FC 2009, MEMICS 2009, EvoHOT 2005, ICES 2003, DDECS 2002.
  • Joseph Fourier Prize for research in computer science (1st place, Z. Vašíček, 2011)
  • Czech patent no. 304181 (2013) - image filter that was automatically designed by evolutionary algorithm
  • Excellent publication: BIDLO M. On Routine Evolution of Complex Cellular Automata. IEEE Transactions on Evolutionary Computation. 2016, vol. 20, no. 5, pp. 742-754
  • Excellent publication: SÁNCHEZ-CLEMENTE A. J., ENTRENA L., HRBÁČEK R. and SEKANINA L. Error Mitigation using Approximate Logic Circuits: A Comparison of Probabilistic and Evolutionary Approaches. IEEE Transactions on Reliability. 2016, vol. 65, no. 4, pp. 1871-1883
  • Excellent publication: VAŠÍČEK Z. and SEKANINA L. Evolutionary Approach to Approximate Digital Circuits Design. IEEE Transactions on Evolutionary Computation. 2015, vol. 19, no. 3, pp. 432-444
  • Excellent publication: SALVADOR R., OTERO A., MORA J., DE la Torre E., RIESGO T. and SEKANINA L. Self-Reconfigurable Evolvable Hardware System for Adaptive Image Processing. IEEE Transactions on Computers. 2013, vol. 62, no. 8, pp. 1481-1493
  • Excellent publication: SEKANINA, L. Evolvable Components - From Theory to Hardware Implementations. Berlin: Springer Verlag, 2004


  • Vienna University of Technology (Prof. Muhammad Shafique)
  • University of Alberta (Prof. Jie Han)
  • Purdue University (Prof. Kaushik Roy)
  • University of Oslo (Prof. Jim Torresen, Dr. Kyrre Glette)
  • Center of Industrial Electronics, Universidad Politécnica de Madrid (dr. Ruben Salvador, dr. Eduardo de la Torre)
  • University of York (Prof. Andy Tyrrell, Dr. Julian Miller)
  • Universidad Carlos III de Madrid (Antonio J. Sanchez-Clemente, dr. Luis Entrena)
  • Faculty of Informatics, Masaryk University (dr. Petr Švenda, prof. Vashek Matyáš)
  • Faculty of Information Technology, Czech Technical University in Prague (dr. Petr Fišer, dr. Jan Schmidt)
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