prof. Ing. Lukáš Sekanina, Ph.D.

Department of Computer Systems (UPSY)

Students will be able to utilize evolutionary algorithms to design electronic circuits. They will be able to model, simulate and implement non-conventional, in particular bio-inspired, computational systems.

Understanding the relation between computers (computing) and some natural processes.

There are no prerequisites

Not applicable.

Not applicable.

• Sekanina L., Vašíček Z., Růžička R., Bidlo M., Jaroš J., Švenda P.: Evoluční hardware: Od automatického generování patentovatelných invencí k sebemodifikujícím se strojům. Academia Praha 2009, ISBN 978-80-200-1729-1
• Floreano, D., Mattiussi, C.: Bioinspired Artificial Intelligence: Theories, Methods, and Technologies. The MIT Press, Cambridge 2008, ISBN 978-0-262-06271-8
• Trefzer M., Tyrrell A.M.: Evolvable Hardware - From Practice to Application. Berlin: Springer Verlag, 2015, ISBN 978-3-662-44615-7
• Kvasnička, V., Pospíchal J., Tiňo P.: Evolučné algoritmy. Vydavatelství STU Bratislava, 2000, 215 s., ISBN 80-227-1377-5
• Mařík et al.: Umělá inteligence IV, Academia, 2003, 480 s., ISBN 80-200-1044-0

• Sekanina L., Vašíček Z., Růžička R., Bidlo M., Jaroš J., Švenda P.: Evoluční hardware: Od automatického generování patentovatelných invencí k sebemodifikujícím se strojům. Academia Praha 2009, ISBN 978-80-200-1729-1 
• Floreano, D., Mattiussi, C.: Bioinspired Artificial Intelligence: Theories, Methods, and Technologies. The MIT Press, Cambridge 2008, ISBN 978-0-262-06271-8
• Trefzer M., Tyrrell A.M.: Evolvable Hardware - From Practice to Application. Berlin: Springer Verlag, 2015, ISBN 978-3-662-44615-7
• Greenwood, G., Tyrrell, A.: Introduction to Evolvable Hardware. A Practical Guide for Designing Self-Adaptive Systems. IEEE Press Series on Computational Intelligence, 2006, ISBN 0-471-71977-3
• Miller J.F.: Cartesian Genetic Programming, Springer Verlag 2011, ISBN 978-3-642-17309-7

Not applicable.

Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.

None

Czech

Not applicable.

Syllabus of lectures:

1. Introduction, inspiration in biology, entropy and self-organization
2. Limits of abstract and physical computing
3. Evolutionary design
4. Cartesian genetic programming
5. Reconfigurable computing devices
6. Evolutionary design of digital circuits
7. Evolutionary circuit design, extreme environments
8. Evolvable hardware, applications
9. Computational development
10. Embryonal and neural hardware
11. DNA computing
12. Nanotechnology and molecular electronics
13. Recent trends

Syllabus of computer exercises:

1. Evolutionary design of combinational circuits
2. Statistical evaluation of experiments with evolutionary design
3. Virtual reconfigurable circuits
4. Celulární automaty

To understand the principles of bio-inspired computational systems. To be able to use the bio-inspired techniques in the phase of design, implementation and runtime of a computational device.

Mid-term exam, project, computer labs assignments. 

• Programme IT-MGR-2 Master's

  branch MPV , any year of study, summer semester, 5 credits, compulsory-optional
  branch MGM , any year of study, summer semester, 5 credits, elective
  branch MSK , any year of study, summer semester, 5 credits, elective
  branch MIS , any year of study, summer semester, 5 credits, elective
  branch MBS , any year of study, summer semester, 5 credits, elective
  branch MIN , any year of study, summer semester, 5 credits, compulsory-optional
  branch MMM , any year of study, summer semester, 5 credits, compulsory-optional
  branch MBI , 1. year of study, summer semester, 5 credits, compulsory
  

18 hours, optionally

prof. Ing. Lukáš Sekanina, Ph.D.