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.

 

 

 

 

 

 

 

 

Main research cooperatives

Research areas

 

 

Marcin Komarnicki (WUST), Bartosz Frej (WUST)

Genetic Algorithms development, Theoretical foundations of Genetic Algorithms

 

 

Krzysztof Walkowiak (WUST)

Evolutionary Computation in real-life problem solving

 

 

Piotr Dziurzański (West Pomeranian University of Technology, University of York)

Evolutionary Computation in real-life problem solving

 

 

 

 

 

 

 

 

 

 

International cooperation

 

 

Dirk Thierens (Utrecht University), Peter Bosman(Centrum Wiskunde & Informatica)

Genetic Algorithms development, problem structure decomposition

 

 

Renato Tinos (University of Sao Paolo)

Genetic Algorithms development, Gray-box optimization

 

 

Leandro Soares Indrusiak (University of York), Shuai Zhao (University of York)

Multi-objective optimization, Evolutionary Computation in real-life problems solving

 

 

Rituparna Datta (University of South Alabama)

Evolutionary Computation in real-life problems solving, Multi-objective optimization

 

 

 

 

 

 

Metaheuristics Team Seminars

 

 

 

2022.05.10

Michał Przewoźniczek, From White to Black through Gray... and one step back to Dark Gray

 

 

 

2022.06.30

Bartosz Frej, Krótkie wprowadzenie do transformaty Walsha

 

 

 

2022.11.14

Iwo Błądek, Genetic Programming for Program Synthesis Problems with Logical Constraints

 

 

 

2022.12.01

Maciej Komosiński, Genetic representations in the optimization of three-dimensional agents

 

 

 

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.