Přístupnostní navigace
E-application
Search Search Close
Ing.
FIT, DCSY – Instructor
+420 54114 1349ihusa@fit.vut.cz
Send BUT message
2024
HUSA, J.; SEKANINA, L. Semantic Mutation Operator for Fast and Efficient Design of Bent Boolean Functions. Genetic Programming and Evolvable Machines, 2024, vol. 25, no. 3, p. 1-32. ISSN: 1389-2576.Detail | WWW
2023
KALKREUTH, R.; VAŠÍČEK, Z.; HUSA, J.; VERMETTEN, D.; YE, F.; THOMAS, B. Towards a General Boolean Function Benchmark Suite. In GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, 2023. p. 591-594. ISBN: 979-8-4007-0120-7.Detail
HUSA, J.; SEKANINA, L. Semantic Mutation Operator for Fast and Efficient Design of Bent Boolean Functions. Evo* 2023 -- Late-Breaking Abstracts Volume. Brno: 2023. p. 0-0. Detail | WWW
KALKREUTH, R.; VAŠÍČEK, Z.; HUSA, J.; VERMETTEN, D.; YE, F.; THOMAS, B. General Boolean Function Benchmark Suite. In FOGA 2023 - Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Potsdam: Association for Computing Machinery, 2023. p. 84-95. ISBN: 979-8-4007-0202-0.Detail
2020
HUSA, J.; SEKANINA, L. Evolving Cryptographic Boolean Functions with Minimal Multiplicative Complexity. In 2020 IEEE Congress on Evolutionary Computation (CEC). Los Alamitos: IEEE Computational Intelligence Society, 2020. p. 1-8. ISBN: 978-1-7281-6929-3.Detail
2019
HUSA, J. Designing Correlation Immune Boolean Functions With Minimal Hamming Weight Using Various Genetic Programming Methods. In GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion. Praha: Association for Computing Machinery, 2019. p. 342-343. ISBN: 978-1-4503-6748-6.Detail | WWW
HUSA, J. Comparison of Genetic Programming Methods on Design of Cryptographic Boolean Functions. In Genetic Programming 22st European Conference, EuroGP 2019, Proceedings. Cham: Springer International Publishing, 2019. p. 228-244. ISBN: 978-3-030-14811-9.Detail | WWW
HUSA, J. Evoluční návrh kryptograficky silných booleovských funkcí. Doksy: Fakulta informačních technologií VUT v Brně, 2019. p. 0-0. Detail
2018
HUSA, J.; KALKREUTH, R. A Comparative Study on Crossover in Cartesian Genetic Programming. In Genetic Programming 21st European Conference, EuroGP 2018, Proceedings. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2018. p. 203-219. ISBN: 978-3-319-77553-1. ISSN: 0302-9743.Detail | WWW
2017
HUSA, J.; DOBAI, R. Designing Bent Boolean Functions With Parallelized Linear Genetic Programming. In GECCO Companion '17 Proceedings of the Companion Publication of the 2017 on Genetic and Evolutionary Computation Conference. Berlín: Association for Computing Machinery, 2017. p. 1825-1832. ISBN: 978-1-4503-4939-0.Detail
*) Publications are generated once a 24 hours.