











Tutorials 







M.W. Przewozniczek, M. M. Komarnicki From
White to Black through Gray... and one step back to
Dark Gray. 

2023 



M.W. Przewozniczek, M. M. Komarnicki Modern
Linkage Learning Techniques in Combinatorial Optimization’22 

2022 



M.W. Przewozniczek, M. M. Komarnicki Modern
Linkage Learning Techniques in Combinatorial Optimization’21 

2021 











Awards
and nominations 







M. W. Przewozniczek,
R. Tinós, M. M. Komarnicki,
First Improvement
Hill Climber with Linkage Learning  on Introducing Dark GrayBox
Optimization into Statistical Linkage Learning Genetic Algorithms, In Proceedings of the Genetic and
Evolutionary Computation Conference (GECCO '23), pp. 946954, ACM, 2023. 



R. Tinós, M. W. Przewozniczek, D. Whitley, Iterated Local Search
with Perturbation based on Variables Interaction for PseudoBoolean Optimization,
In Proceedings of the Genetic and
Evolutionary Computation Conference (GECCO '22), pp. 296–304, ACM, 2022. 











IEEE Transactions on Evolutionary Computation 






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. 



M.W. Przewozniczek, M. M. Komarnicki,
Empirical linkage
learning, IEEE Transactions on
Evolutionary Computation, vol. 24,
no. 6, pp. 10971111, 2020. 




*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. 715734, 2011. *The order of the authors is alphabetical; The main author is Michal
Przewozniczek, and the paper is the core of his PhD
thesis. 












Recent
publications (since 2023) 






Journals 







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. 129,
2024. 




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. 












Conferences 







M. M. Komarnicki, M. W. Przewozniczek, R. Tinós, and X. Li, Overlapping Cooperative
CoEvolution for Overlapping LargeScale Global Optimization Problems, In
Proceedings of the Genetic and
Evolutionary Computation Conference (GECCO '24), pp. 665–673, 2024. 



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 Companion (GECCO '23), pp. 412–421, 2024. 



M. W. Przewozniczek,
R. Tinós, M. M. Komarnicki,
First Improvement
Hill Climber with Linkage Learning  on Introducing Dark GrayBox
Optimization into Statistical Linkage Learning Genetic Algorithms, In Proceedings of the Genetic and
Evolutionary Computation Conference (GECCO '23), pp. 946954, ACM, 2023. 



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.
981989, ACM, 2023 . 



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.
955962, ACM, 2023. 














