Petr Pošík

Department of Cybernetics , Faculty of Electrical Engineering
Czech Technical University
Technická 2, 166 27 Prague 6, Czech Republic

Tel.:  +420 224 357 228
Fax:  +420 224 357 224
E-mail:

The Member of: Gerstner Laboratory - Intelligent Data Analysis
Current Position: Researcher
Research Interests:
Teaching:
  • Operation Systems and Their Applications
  • Soft computing
  • Information Systems Design
  • Biological data processing
Education:
  • 1995-2001 Ing. (equivalent to M.Sc.) in Technical Cybernetics, Czech Technical University in Prague, diploma thesis topic: Parallel Genetic Algorithms
  • 2001-now Ph.D. Student in Biocybernetics and Artificial Intelligence, PhD thesis topic: On the Use of Probabilistic Models and Coordinate Transforms in Evolutionary Algorithms
Publications:
  • Kubalk, J. - Pok, P. - Herold, J.: A Selecto-recombinative Genetic Algorithm with Continuous Chromosome Reconfiguration. In Parallel Problem Solving from Nature - PPSN-IX. Heidelberg: Springer, 2006, s. 959-968. ISBN 3-540-38990-3.
  • Pok, P.: Vestibulo-ocular Reflex Signal Processing Using Evolutionary Algorithm. In The 3rd European Medical and Biological Engineering Conference - EMBEC05 [CD-ROM]. Praha: Spolenost biomedicnskho inenrstv a lkask informatiky LS JEP, 2005, vol. 11, ISSN 1727-1983.
  • Pok, P.: Real-Parameter Optimization Using the Mutation Step Co-evolution. In IEEE Congress on Evolutionary Computation 2005 [CD-ROM]. 2005, s. 872-879. ISBN 0-7803-9364-3.
  • Pok, P.: On the Utility of Linear Transformations for Population-Based Optimization Algorithms. In Preprints of the 16th World Congress of the International Federation of Automatic Control [CD-ROM]. Praha: IFAC, 2005.
  • Pok, P.: Using Kernel Principal Component Analysis in Evolutionary Algorithms as an Efficient Multi-Parent Crossover Operator. In IEEE 4th International Conference on Intelligent Systems Design and Application. Piscataway: IEEE, 2004, vol. I,II, s. 25-30. ISBN 963-7154-29-9.
  • Pok, P.: Distribution Tree-Building Real-Valued Evolutionary Algorithm. In Parallel Problem Solving from Nature - PPSN VIII. Berlin: Springer, 2004, vol. 1, s. 372-381. ISBN 3-540-23092-0.
Other Links: Personal pages

Department of Cybernetics, © 1996-2007