Genetic Programming Bibliography entries for Radek Hrbacek
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Antonio Jose Sanchez-Clemente,
Luis Alfonso Entrena Arrontes,
Genetic Programming Articles by Radek Hrbacek
Antonio J. Sanchez-Clemente and Luis Entrena and Radek Hrbacek and Lukas Sekanina.
Error Mitigation Using Approximate Logic Circuits: A Comparison of Probabilistic and Evolutionary Approaches.
IEEE Transactions on Reliability, 65(4):1871-1883, 2016.
Genetic Programming conference papers by Radek Hrbacek
F. Vaverka and R. Hrbacek and L. Sekanina.
Evolving component library for approximate high level synthesis. In
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016.
Radek Hrbacek and Vojtech Mrazek and Zdenek Vasicek.
Automatic design of approximate circuits by means of multi-objective evolutionary algorithms. In
2016 International Conference on Design and Technology of Integrated Systems in Nanoscale Era (DTIS), 2016.
Parallel Multi-Objective Evolutionary Design of Approximate Circuits. In
Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors,
GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 687-694, Madrid, Spain, 2015. ACM.
Radek Hrbacek and Vaclav Dvorak.
Bent Function Synthesis by Means of Cartesian Genetic Programming. In
Thomas Bartz-Beielstein and Juergen Branke and Bogdan Filipic and Jim Smith editors,
13th International Conference on Parallel Problem Solving from Nature, volume 8672, pages 414-423, Ljubljana, Slovenia, 2014. Springer.
Radek Hrbacek and Lukas Sekanina.
Towards highly optimized cartesian genetic programming: from sequential via SIMD and thread to massive parallel implementation. In
Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors,
GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation, pages 1015-1022, Vancouver, BC, Canada, 2014. ACM.
Radek Hrbacek and Michaela Sikulova.
Coevolutionary Cartesian Genetic Programming in FPGA. In
Pietro Lio and Orazio Miglino and Giuseppe Nicosia and Stefano Nolfi and Mario Pavone editors,
Advances in Artificial Life, ECAL 2013, pages 431-438, Taormina, Italy, 2013. MIT Press.