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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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M. W. Przewozniczek,
R. Tinós, M. M. Komarnicki,
First
Improvement Hill Climber with Linkage Learning -- on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning
Genetic Algorithms, In Proceedings
of the Genetic and Evolutionary Computation Conference (GECCO '23), pp.
946-954, ACM, 2023. |
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R. Tinós, M. W. Przewozniczek, D. Whitley, Iterated Local Search
with Perturbation based on Variables Interaction for Pseudo-Boolean
Optimization, In Proceedings of the
Genetic and Evolutionary Computation Conference (GECCO '22), pp. 296–304,
ACM, 2022. |
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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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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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M. W. Przewozniczek,
R. Tinós, M. M. Komarnicki,
First
Improvement Hill Climber with Linkage Learning -- on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning
Genetic Algorithms, In Proceedings
of the Genetic and Evolutionary Computation Conference (GECCO '23), pp.
946-954, ACM, 2023. |
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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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