Email: michal.przewozniczek@pwr.edu.pl

Jednostka: Wydział Informatyki i Telekomunikacji » Katedra Systemów i Sieci Komputerowych

ul. I. Łukasiewicza 3/5, Wrocław
bud. D-2, pok. 201/2
tel. 71 320 3207

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Wybrane publikacje
1	Artykuł 2024 Renato Tinós, Michał Przewoźniczek, Darrell Whitley, Francisco Chicano, Iterated local search with Linkage Learning. ACM Transactions on Evolutionary Learning and Optimization. 2024, vol. 4, nr 2, art. 7, s. 1-29. ISSN: 2688-3007 Zasoby:URLSFX
2	Referat konferencyjny 2024 Marcin M Komarnicki, Michał Przewoźniczek, Renato Tinós, Xiaodong Li, Overlapping cooperative co-evolution for overlapping large-scale global optimization problems. W: GECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference, July 14-18, 2024, Melbourne, Australia / ed. Julia Handl. New York, NY : ACM, cop. 2024. s. 665-673. ISBN: 979-8-4007-0494-9 Zasoby:DOIURL
3	Referat konferencyjny 2024 Łukasz Tulczyjew, Michał Przewoźniczek, Renato Tinós, Agata M Wijata, Jakub Nalepa, CANNIBAL unveils the hidden gems: hyperspectral band selection via clustering of weighted variable interaction graphs. W: GECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference, July 14-18, 2024, Melbourne, Australia / ed. Julia Handl. New York, NY : ACM, cop. 2024. s. 412-421. ISBN: 979-8-4007-0494-9 Zasoby:DOIURL
4	Referat konferencyjny 2023 Michał Przewoźniczek, Renato Tinós, Marcin M Komarnicki, First improvement hill climber with linkage learning - on introducing dark Gray-box optimization into statistical linkage learning genetic algorithms. W: GECCO '23 : Proceedings of the 2023 Genetic and Evolutionary Computation Conference, July 15-19, 2023, Lisbon, Portugal / eds. Sara Silva, Luís Paquete. New York, NY : ACM, cop. 2023. s. 946-954. ISBN: 979-8-4007-0119-1 Zasoby:DOI
5	Referat konferencyjny 2023 Michał Przewoźniczek, Marcin M Komarnicki, To slide or not to slide? Moving along fitness levels and preserving the gene subsets diversity in modern evolutionary algorithms. W: GECCO '23 : Proceedings of the 2023 Genetic and Evolutionary Computation Conference, July 15-19, 2023, Lisbon, Portugal / eds. Sara Silva, Luís Paquete. New York, NY : ACM, cop. 2023. s. 955-962. ISBN: 979-8-4007-0119-1 Zasoby:DOI
6	Referat konferencyjny 2023 Renato Tinós, Michał Przewoźniczek, Darrell Whitley, Francisco Chicano, Genetic algorithm with linkage learning. W: GECCO '23 : Proceedings of the 2023 Genetic and Evolutionary Computation Conference, July 15-19, 2023, Lisbon, Portugal / eds. Sara Silva, Luís Paquete. New York, NY : ACM, cop. 2023. s. 981-989. ISBN: 979-8-4007-0119-1 Zasoby:DOI
7	Referat konferencyjny 2023 Marcin M Komarnicki, Halina Kwaśnicka, Michał Przewoźniczek, Krzysztof Walkowiak, Incremental recursive ranking grouping - a decomposition strategy for additively and nonadditively separable problems. W: GECCO’23 Companion : Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion, July 15-19, 2023, Lisbon, Portugal / ed. Luís Paquete. New York, NY : ACM, cop. 2023. s. 27-28. ISBN: 979-8-4007-0120-7 Zasoby:DOI
8	Artykuł 2023 Marcin M Komarnicki, Michał Przewoźniczek, Halina Kwaśnicka, Krzysztof Walkowiak, Incremental recursive ranking grouping for large scale global optimization. IEEE Transactions on Evolutionary Computation. 2023, vol. 27, nr 5, s. 1498-1513. ISSN: 1089-778X; 1941-0026 Zasoby:DOIURLSFX
9	Referat konferencyjny 2022 Michał Przewoźniczek, Marcin M Komarnicki, Empirical linkage learning for non-binary discrete search spaces in the optimization of a large-scale real-world problem. W: GECCO '22 : Proceedings of the 2022 Genetic and Evolutionary Computation Conference, July 9-13, 2022, Boston, Massachusetts / ed. Jonathan E. Fieldsend. New York, NY : ACM, cop. 2022. s. 35-36. ISBN: 978-1-4503-9237-2 Zasoby:DOIURL
10	Referat konferencyjny 2022 Renato Tinós, Michał Przewoźniczek, Darrell Whitley, Iterated local search with perturbation based on variables interaction for pseudo-boolean optimization. W: GECCO '22 : Proceedings of the 2022 Genetic and Evolutionary Computation Conference, July 9-13, 2022, Boston, Massachusetts / ed. Jonathan E. Fieldsend. New York, NY : ACM, cop. 2022. s. 296-304. ISBN: 978-1-4503-9237-2 Zasoby:DOIURL

Wszystkie publikacje pracownika