Genetic Programming Bibliography entries for Jakub Husa
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Roman Tobias Kalkreuth,
Genetic Programming Articles by Jakub Husa
Jakub Husa and Lukas Sekanina.
Semantic mutation operator for a fast and efficient design of bent Boolean functions.
Genetic Programming and Evolvable Machines, 25:Article number: 3, 2024.
Genetic Programming conference papers by Jakub Husa
Roman Kalkreuth and Zdenek Vasicek and Jakub Husa and Diederick Vermetten and Furong Ye and Thomas Baeck.
Towards a General Boolean Function Benchmark Suite. In
Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors,
Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 591-594, Lisbon, Portugal, 2023. Association for Computing Machinery.
Jakub Husa and Lukas Sekanina.
Evolving Cryptographic Boolean Functions with Minimal Multiplicative Complexity. In
Yaochu Jin editor,
2020 IEEE Congress on Evolutionary Computation (CEC), 2020.
Designing correlation immune boolean functions with minimal hamming weight using various genetic programming methods. In
Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors,
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 342-343, Prague, Czech Republic, 2019. ACM.
Comparison of Genetic Programming Methods on Design of Cryptographic Boolean Functions. In
Lukas Sekanina and Ting Hu and Nuno Lourenco editors,
EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 228-244, Leipzig, Germany, 2019. Springer Verlag.
Jakub Husa and Roman Kalkreuth.
A Comparative Study on Crossover in Cartesian Genetic Programming. In
Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors,
EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 203-219, Parma, Italy, 2018. Springer Verlag.
Jakub Husa and Roland Dobai.
Designing Bent Boolean Functions with Parallelized Linear Genetic Programming. In
Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1825-1832, Berlin, Germany, 2017. ACM.