Project detail
Bio-inspired methods for resource aware computer system design
Duration: 29.9.2020 — 28.9.2024
Funding resources
Evropská unie - European Cooperation in Science and Technology (COST)
On the project
We propose to implement and evaluate automated bio-inspired design methods, and components generated by these methods, in the context of research into compromise solutions that make different use of resources addressed by CERCIRAS. Having these methods, we will work towards better understanding, management and utilization of resources by users from the academia and industry.
Description in Czech
Zaměříme se na implementaci a vyhodnocení biologií inspirovaných návrhových metod
a komponent vygenerovaných pomocí těchto metod, a to v kontextu výzkumu
kompromisních řešení různě využívajících dostupné zdroje, které jsou studovány
v CERCIRAS. Za pomoci těchto metod se budeme snažit o lepší porozumění, řízení
a využití zdrojů jak akademickými, tak i průmyslovými uživateli.
Keywords
Bio-inspired methods, Resource-aware computing, Information and program
analysis, Predictable, safe and reliable computing, Knowledge transfer
Default language
English
People responsible
Sekanina Lukáš, prof. Ing., Ph.D. - principal person responsible
Bidlo Michal, doc. Ing., Ph.D. - fellow researcher
Mrázek Vojtěch, Ing., Ph.D. - fellow researcher
Vašíček Zdeněk, doc. Ing., Ph.D. - fellow researcher
Units
Department of Computer Systems
- responsible department (25.5.2020 - not assigned)
Evolvable Hardware Research Group
- internal (25.5.2020 - 28.9.2024)
Institute of Automation and Computer Science
- co-beneficiary (25.5.2020 - 28.9.2024)
Department of Computer Systems
- beneficiary (25.5.2020 - 28.9.2024)
Results
JŮZA, T.; SEKANINA, L. GPAM: Genetic Programming with Associative Memory. In 26th European Conference on Genetic Programming (EuroGP) Held as Part of EvoStar. Lecture Notes in Computer Science. LNCS. Cham: Springer Nature Switzerland AG, 2023. p. 68-83. ISBN: 978-3-031-29572-0. ISSN: 0302-9743.
Detail
MATOUŠEK, R.; LOZI, R.; HŮLKA, T. Stabilization of Higher Periodic Orbits of the Lozi and Hénon Maps using Meta-evolutionary Approaches. In 2021 IEEE Congress on Evolutionary Computation (CEC). IEEE Congress on Evolutionary Computation (CEC). Kraków, Poland: IEEE, 2021. p. 572-579. ISBN: 978-1-7281-8393-0.
Detail
Link
Responsibility: Sekanina Lukáš, prof. Ing., Ph.D.