Department of Computer Systems

Enhancement of genetic optimization methods for computer engineering

Czech title:Vylepšení metod genetické optimalizace pro počítačové inženýrství
Reseach leader:Mrázek Vojtěch
Team leaders:Matoušek Radomil, Sekanina Lukáš
Agency:Brno University of Technology
Code:FIT/FSI-J-17-4294
Start:2017-03-01
End:2018-02-28
Keywords:genetic programming, grammar evolution, optimization, regulators, digital circuits
Annotation:


The aim of the project is to design advanced evolutionary algorithms that will be used in current complex computer engineering tasks. The project is divided into two stages of the solution. In the first phase, new methods of evolutionary design will be proposed, based on the improvement of the commonly used method of genetic programming and grammatical evolution. In the second phase, these methods will be used to design and optimize circuit elements such as arithmetic circuits and digital controllers. The integration objective of the project is to link the advanced knowledge of genetic optimization techniques (FSI) and genetic programming approaches (FIT).

Publications

2017MRÁZEK Vojtěch and VAŠÍČEK Zdeněk. Parallel Optimization of Transistor Level Circuits using Cartesian Genetic Programming. In: GECCO Companion '17 Proceedings of the Companion Publication of the 2017 on Genetic and Evolutionary Computation Conference. Berlin: Association for Computing Machinery, 2017, pp. 1849-1856. ISBN 978-1-4503-4939-0.

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