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- 1.0477789 - ÚI 2018 RIV US eng C - Conference Paper (international conference)
Pitra, Z. - Bajer, L. - Repický, J. - Holeňa, Martin
Comparison of Ordinal and Metric Gaussian Process Regression as Surrogate Models for CMA Evolution Strategy.
GECCO 2017. Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York: ACM, 2017, s. 1764-1771. ISBN 978-1-4503-4939-0.
[GECCO 2017. Genetic and Evolutionary Computation Conference. Berlin (DE), 15.07.2017-19.07.2017]
R&D Projects: GA ČR GA17-01251S
Grant - others:GA MŠk(CZ) LO1611; ČVUT(CZ) SGS17/193/OHK4/3T/14; GA MŠk(CZ) LM2010005
Institutional support: RVO:67985807
Keywords : black-box optimization * evolutionary optimization * surrogate modelling * Gaussian-process regression
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0274013File Download Size Commentary Version Access a0477789.pdf 1 1.2 MB Publisher’s postprint require - 2.0477762 - ÚI 2018 RIV US eng C - Conference Paper (international conference)
Pitra, Z. - Bajer, L. - Repický, J. - Holeňa, Martin
Overview of Surrogate-model Versions of Covariance Matrix Adaptation Evolution Strategy.
GECCO 2017. Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York: ACM, 2017, s. 1622-1629. ISBN 978-1-4503-4939-0.
[GECCO 2017. Genetic and Evolutionary Computation Conference. Berlin (DE), 15.07.2017-19.07.2017]
R&D Projects: GA ČR GA17-01251S
Grant - others:GA MŠk(CZ) LO1611; ČVUT(CZ) SGS17/193/OHK4/3T/14; GA MŠk(CZ) LM2010005
Institutional support: RVO:67985807
Keywords : black-box optimization * evolutionary optimization * surrogate modelling
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0274009File Download Size Commentary Version Access a0477762.pdf 2 957 KB Publisher’s postprint require - 3.0477041 - ÚI 2018 RIV US eng C - Conference Paper (international conference)
Pilát, M. - Neruda, Roman
Parallel Evolutionary Algorithm with Interleaving Generations.
GECCO 2017. Proceedings of the 2017 Genetic and Evolutionary Computation Conference. New York: ACM, 2017, s. 865-872. ISBN 978-1-4503-4920-8.
[GECCO 2017. Genetic and Evolutionary Computation Conference. Berlin (DE), 15.07.2017-19.07.2017]
R&D Projects: GA ČR GA15-19877S
Institutional support: RVO:67985807
Keywords : evolutionary algorithms * parallelization * evaluation-time bias * complex optimization * interleaving generations
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0273439File Download Size Commentary Version Access a0477041.pdf 0 840.4 KB Publisher’s postprint require