| Selected publications |
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| 1 | Artykuł 2026
Michał W Przewoźniczek Paweł Myszkowski Witold Kościukiewicz Mateusz Wójcik, Adam Gonczarek, Adam Korkus,| On discovering and analyzing variable dependencies to construct an effective and efficient optimizer dedicated to solving the new real-world multi-objective resource-allocation problem. Applied Soft Computing. 2026, vol. 194, art. 114924, s. 1-12. ISSN: 1568-4946; 1872-9681 | | Zasoby:DOIURLSFX |    |
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| 2 | Artykuł 2025
Szymon W Niemczyk Michał W Przewoźniczek Piotr Dziurzanski,| Pareto Front Improvements Phase using linkage learning and mating restrictions for solving multi-objective industrial process planning problems with low-sized pareto fronts. Expert Systems with Applications. 2025, vol. 273, art. 126834, s. 1-16. ISSN: 0957-4174; 1873-6793 | | Zasoby:DOIURLSFX | |
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| 3 | Referat konferencyjny 2025
Michał W Przewoźniczek Marcin M Komarnicki Renato Tinós,| Empirical linkage discovery in bi-objective optimization. W: FOGA '25 : Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, August 27-29, 2025, Leiden, The Netherlands. New York, NY : ACM, cop. 2025. s. 250-261. ISBN: 979-8-4007-1859-5 | | Zasoby:DOIURL |  |
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| 4 | Referat konferencyjny 2025
Michał W Przewoźniczek Anton Bouter, Arthur Guijt, Marcin M Komarnicki Dirk Thierens,| Conditional direct empirical linkage discovery for solving multi-structured problems. W: FOGA '25 : Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, August 27-29, 2025, Leiden, The Netherlands. New York, NY : ACM, cop. 2025. s. 238-249. ISBN: 979-8-4007-1859-5 | | Zasoby:DOIURL | |
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| 5 | Referat konferencyjny 2025
Michał W Przewoźniczek Francisco Chicano, Renato Tinós, Jakub Nalepa, Bogdan Ruszczak, Agata M Wijata,| On revealing the hidden problem structure in real-world and theoretical problems using Walsh coefficient influence. W: GECCO '25 : Proceedings of the 2025 Genetic and Evolutionary Computation Conference, July 14-18, 2025, Málaga, Spain / ed. Gabriela Ochoa. New York, NY : ACM, cop. 2025. s. 295-303. ISBN: 979-8-4007-1465-8 | | Zasoby:DOIURL | |
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| 6 | Referat konferencyjny 2025
Sarah L Thomson, Michał W Przewoźniczek| Subfunction structure matters: a new perspective on local optima networks. W: GECCO '25 : Proceedings of the 2025 Genetic and Evolutionary Computation Conference, July 14-18, 2025, Málaga, Spain / ed. Gabriela Ochoa. New York, NY : ACM, cop. 2025. s. 85-93. ISBN: 979-8-4007-1465-8 | | Zasoby:DOIURL | |
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| 7 | Referat konferencyjny 2025
Jȩdrzej Sz Piątek Michał W Przewoźniczek Francisco Chicano, Renato Tinós,| Moving between high-quality optima using multi-satisfiability characteristics in hard-to-solve Max3Sat instances. W: GECCO '25 : Proceedings of the 2025 Genetic and Evolutionary Computation Conference, July 14-18, 2025, Málaga, Spain / ed. Gabriela Ochoa. New York, NY : ACM, cop. 2025. s. 286-294. ISBN: 979-8-4007-1465-8 | | Zasoby:DOIURL | |
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| 8 | Referat konferencyjny 2025
Jakub M Maciążek Michał W Przewoźniczek Jonas Schwaab,| Seeking and leveraging alternative variable dependency concepts in gray-box-elusive bimodal land-use allocation problems. W: GECCO '25 : Proceedings of the 2025 Genetic and Evolutionary Computation Conference, July 14-18, 2025, Málaga, Spain / ed. Gabriela Ochoa. New York, NY : ACM, cop. 2025. s. 1406-1414. ISBN: 979-8-4007-1465-8 | | Zasoby:DOIURL | |
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| 9 | Referat konferencyjny 2025
Michał B Prusik Bartosz Frej Michał W Przewoźniczek| Availability of perfect decomposition in statistical linkage learning for unitation-based function concatenations. W: FOGA '25 : Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, August 27-29, 2025, Leiden, The Netherlands. New York, NY : ACM, cop. 2025. s. 226-237. ISBN: 979-8-4007-1859-5 | | Zasoby:DOI | |
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| 10 | Referat konferencyjny 2025
Agata M Wijata, Maria Bieńkowska, Michał W Przewoźniczek Jakub Nalepa,| Genetic feature selection for multimodal wound detection. W: GECCO'25 Companion : Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion, July 14-18, 2025, Málaga, Spain / ed. Gabriela Ochoa. New York, NY : ACM, cop. 2025. s. 927-930. ISBN: 979-8-4007-1464-1 | | Zasoby:DOIURL | |
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| 11 | Referat konferencyjny 2025
Agata M Wijata, Nicolas Longépé, Michał W Przewoźniczek Jakub Nalepa,| Machine learning and genetic algorithms: an intricate relationship for locating methane in satellite images. W: GECCO'25 Companion : Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion, July 14-18, 2025, Málaga, Spain / ed. Gabriela Ochoa. New York, NY : ACM, cop. 2025. s. 931-934. ISBN: 979-8-4007-1464-1 | | Zasoby:DOIURL | |
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