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Tutorials |
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M.W. Przewozniczek, M. M. Komarnicki From
White to Black through Gray... and one step back to
Dark Gray. |
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2023 |
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M.W. Przewozniczek, M. M. Komarnicki Modern
Linkage Learning Techniques in Combinatorial Optimization’22 |
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2022 |
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M.W. Przewozniczek, M. M. Komarnicki Modern
Linkage Learning Techniques in Combinatorial Optimization’21 |
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2021 |
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Awards
and nominations |
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IEEE Transactions on Evolutionary
Computation |
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M. W. Przewozniczek,
B. Frej, M. M. Komarnicki,
From Direct to
Directional Variable Dependencies – Non-Symmetrical Dependencies Discovery in
Real-World and Theoretical Problems, IEEE
Transactions on Evolutionary Computation, 2024 (in press). |
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M. M. Komarnicki,
M. W. Przewozniczek, H. Kwasnicka
and K. Walkowiak, Incremental Recursive
Ranking Grouping for Large Scale Global Optimization, IEEE Transactions on Evolutionary
Computation, vol. 27, pp. 1498–1513, 2023. |
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M.W. Przewozniczek, M. M. Komarnicki,
Empirical linkage
learning, IEEE Transactions on
Evolutionary Computation, vol. 24,
no. 6, pp. 1097-1111, 2020. |
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*H. Kwasnicka, M. Przewozniczek, Multi Population Pattern
Searching Algorithm: a new evolutionary method based on the idea of messy
Genetic Algorithm, IEEE Transactions
on Evolutionary Computation, Vol. 15, No.5, pp. 715-734, 2011. *The order of the authors is alphabetical; The main author is Michal
Przewozniczek, and the paper is the core of his PhD
thesis. |
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Recent
publications (since 2023) |
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Journals |
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S. Niemczyk, M. W.
Przewozniczek, P. 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 (in press). |
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M. W. Przewozniczek,
B. Frej, M. M. Komarnicki,
From Direct to
Directional Variable Dependencies – Non-Symmetrical Dependencies Discovery in
Real-World and Theoretical Problems, IEEE
Transactions on Evolutionary Computation, 2024 (in press). |
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R. Tinós, M. W. Przewozniczek, D. Whitley, and F. Chicano, Iterated Local Search with
Linkage Learning, ACM Transactions
on Evolutionary Learning and Optimization, Vol. 4, Issue 2, pp. 1-29,
2024. |
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M. M. Komarnicki,
M. W. Przewozniczek, H. Kwasnicka
and K. Walkowiak, Incremental Recursive
Ranking Grouping for Large Scale Global Optimization, IEEE Transactions on Evolutionary
Computation, vol. 27, pp. 1498–1513, 2023. |
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Conferences |
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M. M. Komarnicki, M. W. Przewozniczek, R. Tinós, and X. Li, Overlapping Cooperative
Co-Evolution for Overlapping Large-Scale Global Optimization Problems, In
Proceedings of the Genetic and
Evolutionary Computation Conference (GECCO '24), pp. 665–673, 2024. |
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L. Tulczyjew, M. W. Przewozniczek, R. Tinós, A. M. Wijata, and J.
Nalepa, CANNIBAL Unveils
the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted
Variable Interaction Graphs, In Proceedings of the Genetic and
Evolutionary Computation Conference (GECCO '23), pp. 412–421, 2024. |
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R. Tinós, M. W. Przewozniczek, D.
Whitley, F. Chicano, Genetic Algorithm with
Linkage Learning, In Proceedings of
the Genetic and Evolutionary Computation Conference (GECCO '23), pp.
981-989, ACM, 2023 . |
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M. W. Przewozniczek,
M. M. Komarnicki, To slide or not to slide?
Moving along fitness levels and preserving the gene subsets diversity in
modern evolutionary algorithms, In Proceedings
of the Genetic and Evolutionary Computation Conference (GECCO '23), pp.
955-962, ACM, 2023. |
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