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With my cooperatives, we specialize in optimization
using Evolutionary Computation methods. Our main field of interest is the use
of problem decomposition to improve the evolutionary search. We consider
various search spaces and single-, multi-, and many-objective optimization.
We maintain cooperation with various research groups by developing the
Evolutionary Computation field together or by designing evolutionary methods
to solve particular real-world problems. |
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Local
research cooperatives |
Research areas |
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Marcin
Komarnicki (WUST), Bartosz Frej (WUST) |
Genetic Algorithms development, Theoretical foundations of Genetic
Algorithms |
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Krzysztof
Walkowiak (WUST) |
Evolutionary Computation in real-world problem solving |
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Piotr Dziurzański (West Pomeranian University of Technology, University of York) |
Evolutionary Computation in real-world problem solving |
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Jakub Nalepa (Silesian University of Technology) |
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International cooperation |
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Dirk Thierens (Utrecht University), Peter Bosman(Centrum Wiskunde & Informatica) |
Genetic Algorithms development, problem structure decomposition |
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Renato Tinos (University of Sao
Paolo) |
Genetic Algorithms development, Gray-box optimization |
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Leandro Soares Indrusiak
(University of York) |
Multi-objective optimization, Evolutionary Computation in real-life
problems solving |
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Francisco Chicano (University of
Málaga) |
Genetic Algorithms development, Gray-box optimization |
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Metaheuristics Team Seminars |
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2022.05.10 |
Michał Przewoźniczek,
From White to Black through
Gray... and one step back to Dark Gray |
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2022.06.30 |
Bartosz
Frej, Krótkie
wprowadzenie do transformaty Walsha |
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2022.11.14 |
Iwo Błądek, Genetic Programming for Program
Synthesis Problems with Logical Constraints |
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2022.12.01 |
Maciej Komosiński, Genetic
representations in the optimization of three-dimensional agents |
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2024.04.11 |
Łuasz Tulczyjew, CANNIBAL Unveils
the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted
Variable Interaction Graphs |
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Coming
soon: |
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Marcin Komarnicki, Incremental Recursive
Ranking Grouping for Large Scale Global Optimization |
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Michał Przewoźniczek,
Large-scale continuous experiment supervision and maintenance. The technical
point of view. |
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