prof. Ing. Pavel Ošmera, CSc. 
 938 
Education and academic qualification
 2009 Prof. subject of speciality: Control Systems, CVUT Prague
 2002 Doc. (Assoc.Prof.) subject of speciality: Control Systems, VSB TU Ostrava
 1987 Doc. (Assoc.Prof.) subject of speciality: Automatization
 1978 CSc. (Ph.D.) VAAZ Brno
 1969 Ing. Technical University of Brno
 1964 Secondary school

Career overview
 1969  1971 EZ Praha
 1971  1983 VAAZ Brno
 1983  1983 VÚ 060 Brno
 1984  1991 teacher BUT (Brno University of Technology) in Brno
 1991  1994 head of department of Computer Science, BUT in Brno
 1994 – 2000 director of Institute of Automation and Computer Science, BUT in Brno
 2009  professor, teacher, BUT Brno
 from 2006 teacher, EPI Kunovice

Scientific activities
Optimization of the work for omnidirectional robots. Automatic generation of programs for adaptive control, fuzzy, and neural netvorks.

Sum of citations (without selfcitations) indexed within SCOPUS
7

Sum of citations (without selfcitations) indexed within ISI Web of Knowledge
22

Sum of other citations (without selfcitations)
53

Supervised courses:
Publications:
 ABBADI, A.; MATOUŠEK, R.; OŠMERA, P.; KNISPEL, L.:
SPATIAL GUIDANCE TO RRT PLANNER USING CELLDECOMPOSITION ALGORITHM,
20th International Conference on Soft Computing, MENDEL 2014 (id 22122), pp.273278, ISBN 9788021449848, (2014), VUT
conference paper
akce: 20th International Conference on Soft Computing, MENDEL 2014, Brno University of Technology, 25.06.201427.06.2014
 OŠMERA, P.; OŠMERA, P.:
VORTEXFRACTALRING STRUCTURES OF FERROMAGNETICMATERIALS,
MENDEL 2014, pp.159162, ISBN 9788021449848, (2014), Nosová Hana
conference paper
akce: 20th International Conference on Soft Computing, MENDEL 2014, Brno University of Technology, 25.06.201427.06.2014
 OŠMERA, P.; ŠEDA, M.; WEISSER, R.:
Evolutionary Optimization of Controllers,
Zelinka, I., Snášel, V., Abraham, A. (eds.): Handbook of Optimization. From Classical to Modern Approach., pp.869887, ISBN 9783642305030, (2012), SpringerVerlag
book chapter
 OŠMERA, P.; ŠEDA, M.; MATOUŠEK, R.; WEISSER, R.:
Twolevel Transplant Evolution for Optimization of Controllers,
2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (id 19801), pp.21102115, ISBN 9781612841809, (2011), IEEE
conference paper
akce: 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Shanghai , 26.07.201128.07.2011
 ŠEDA, M.; OŠMERA, P.:
Systems with Queueing and Their Simulation,
World Academy of Science, Engineering and Technology, Vol.2011, (2011), No.73, pp.713719, ISSN 13076892, WASET
journal article
 ŠEDA, M.; MATOUŠEK, R.; OŠMERA, P.; ŠANDERA, Č.; WEISSER, R.:
Combined Heuristic Approach to ResourceConstrained Project Scheduling Problem,
Lecture notes in Electrical Engineering, Vol.2010, (2010), No.68, pp.4757, ISSN 18761100, Springer
journal article
akce: MENDEL 2009  15th International Conference on Soft Computing, Brno University of Technology, 24.06.200926.06.2009
 WEISSER, R.; OŠMERA, P.; ROUPEC, J.; MATOUŠEK, R.:
TwoLevel Transplant Evolution for Optimization of General Controllers,
New Trends in Technologies: Control, Management, Computational Intelligence and Network Systems, pp.5068, ISBN 9789533072135, (2010), Sciyo
book chapter
 OŠMERA, P.:
Evolvable Controllers with Hierarchical Structure,
CEC 2004, pp.758765, ISBN 0780385152, (2004), IEEE Service Center
conference paper
akce: CEC 2004, Portland, 19.06.200423.06.2004
List of publications at Portal BUT
 ABBADI, A.; MATOUŠEK, R.; OŠMERA, P.; KNISPEL, L.:
SPATIAL GUIDANCE TO RRT PLANNER USING CELLDECOMPOSITION ALGORITHM,
20th International Conference on Soft Computing, MENDEL 2014 (id 22122), pp.273278, ISBN 9788021449848, (2014), VUT
conference paper
akce: 20th International Conference on Soft Computing, MENDEL 2014, Brno University of Technology, 25.06.201427.06.2014
Motion planning is problematic issue in robotics domain. In this paper we compare very wellknown planners, the probabilistic path planning method Rapidly Exploring Random Tree (RRT) and spatial planner as exact Cellsdecomposition (CD). We try to make some tradeoff between the efficiency of planning using CD in 2D space and dynamic of planning using RRT by giving the pathpoint of CD to RRTs planner as spatial guidance to overcome the drawback of this two planners.
 OŠMERA, P.; ŠEDA, M.; WEISSER, R.:
Evolutionary Optimization of Controllers,
Zelinka, I., Snášel, V., Abraham, A. (eds.): Handbook of Optimization. From Classical to Modern Approach., pp.869887, ISBN 9783642305030, (2012), SpringerVerlag
book chapter
The aim of this paper is to describe a new optimization method that can create control equations of general regulators. For this type of optimization a new method was created and we call it TwoLevel Transplant Evolution (TLTE). This method allowed us to apply advanced methods of optimization, for example direct tree reducing of tree structure of control equation. The reduction method was named Arithmetic Tree Reducing (ART). For optimization of control equations of general controllers is suitable combine two evolutionary algorithms. Main goal in the first level of TLTE is the optimization of structure of general controllers. In the second level of TLTE the concrete parameters are optimized and the unknown abstract parameters in structure of equations are set. The method TLTE was created by combination of Transplant Evolution method (TE) and Differential Evolution method (DE). The Transplant Evolution (TE) optimizes structure of solution with unknown abstract parameters and the DE optimizes the parameters in this structure. The parameters are real numbers. The real numbers are not easy find directly in TE without DE. For evaluation of quality of found control equation are described new methods, which allow evaluate their quality. It can be used in the case when the simulation of control process cannot be finished. In results are shown some practical application. In all results we received the control equation that reached better quality of control process, than classical PID controllers and Takahashi`s modification of PID controller.
 OŠMERA, P.; ŠEDA, M.; MATOUŠEK, R.; WEISSER, R.:
Twolevel Transplant Evolution for Optimization of Controllers,
2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (id 19801), pp.21102115, ISBN 9781612841809, (2011), IEEE
conference paper
akce: 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Shanghai , 26.07.201128.07.2011
This paper describes the application of TwoLevel Transplant Evolution (TE) that can evolve control programs using a variable length linear genome to govern the mapping of a Backus Naur Form grammar definition. TE combines
Grammatical Evolution (on the genotype level) with Genetic Programming (tree structures on the phenotype level). To
increase the efficiency of Transplant Evolution (TE) the parallel Differential Evolution was added.
 ŠEDA, M.; OŠMERA, P.:
Systems with Queueing and Their Simulation,
World Academy of Science, Engineering and Technology, Vol.2011, (2011), No.73, pp.713719, ISSN 13076892, WASET
journal article
In the queueing theory, it is assumed that customer arrivals correspond to a Poisson process and service time has the exponential distribution. Using these assumptions, the behaviour of the queueing system can be described by means of Markov chains and it is possible to derive the characteristics of the system. In the paper, these theoretical approaches are presented on several types of systems and it is also shown how to compute the characteristics in a situation when these assumptions are not satisfied.
 WEISSER, R.; OŠMERA, P.; ROUPEC, J.; MATOUŠEK, R.:
TwoLevel Transplant Evolution for Optimization of General Controllers,
New Trends in Technologies: Control, Management, Computational Intelligence and Network Systems, pp.5068, ISBN 9789533072135, (2010), Sciyo
book chapter
The aim of this work is to describe a new optimization method that can create control equations of general controllers. For this type of optimization a new method was created and we call it TwoLevel Transplant Evolution (TLTE).