Linked Genes Migration in Island Models. - Marcin Komarnicki; Michal Przewozniczek (IJCCI (ECTA), 2016)

Parameter-less population pyramid with feedback. - Marcin M. Komarnicki; Michal Witold Przewozniczek (GECCO (Companion), 2017)

The Practical Use of Problem Encoding Allowing Cheap Fitness Computation of Mutated Individuals. - Michal Przewozniczek; Marcin Komarnicki (FedCSIS, 2018)

The influence of fitness caching on modern evolutionary methods and fair computation load measurement. - Michal Witold Przewozniczek; Marcin M. Komarnicki (GECCO (Companion), 2018)

Cloud-based dynamic distributed optimisation of integrated process planning and scheduling in smart factories. - Shuai Zhao 004; Piotr Dziurzanski; Michal Przewozniczek; Marcin Komarnicki; Leandro Soares Indrusiak (GECCO, 2019)

Parameter-less, population-sizing DSMGA-II. - Marcin M. Komarnicki; Michal Witold Przewozniczek (GECCO (Companion), 2019)

Parameter-less population pyramid with automatic feedback. - Adam M. Zielinski; Marcin M. Komarnicki; Michal Witold Przewozniczek (GECCO (Companion), 2019)

The transformation of the k-Shortest Steiner trees search problem into binary dynamic problem for effective evolutionary methods application. - Michal Witold Przewozniczek; Krzysztof Walkowiak; Arunabha Sen; Marcin Komarnicki; Piotr Lechowicz (Inf. Sci., 2019)

Comparative mixing for DSMGA-II. - Marcin M. Komarnicki; Michal Witold Przewozniczek; Tomasz M. Durda (GECCO, 2020)

On measuring and improving the quality of linkage learning in modern evolutionary algorithms applied to solve partially additively separable problems. - Michal Witold Przewozniczek; Bartosz Frej; Marcin M. Komarnicki (GECCO, 2020)

Parameter-Less Population Pyramid for Permutation-Based Problems. - Szymon Wozniak; Michal Przewozniczek; Marcin M. Komarnicki (PPSN (1), 2020)

Splitting the fitness and penalty factor for temporal diversity increase in practical problem solving. - Michal Witold Przewozniczek; Rituparna Datta; Krzysztof Walkowiak; Marcin Michal Komarnicki (Expert Syst. Appl., 2020)

Scalable distributed evolutionary algorithm orchestration using Docker containers. - Piotr Dziurzanski; Shuai Zhao 004; Michal Przewozniczek; Marcin Komarnicki; Leandro Soares Indrusiak (J. Comput. Sci., 2020)

Empirical Linkage Learning. - Michal Witold Przewozniczek; Marcin Michal Komarnicki (IEEE Trans. Evol. Comput., 2020)

Fitness Caching - From a Minor Mechanism to Major Consequences in Modern Evolutionary Computation. - Michal Witold Przewozniczek; Marcin M. Komarnicki (CEC, 2021)

Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms. - Michal Witold Przewozniczek; Marcin M. Komarnicki; Peter A. N. Bosman; Dirk Thierens; Bartosz Frej; Ngoc Hoang Luong (GECCO Companion, 2021)

Direct linkage discovery with empirical linkage learning. - Michal Witold Przewozniczek; Marcin Michal Komarnicki; Bartosz Frej (GECCO, 2021)

Empirical problem decomposition - the key to the evolutionary effectiveness in solving a large-scale non-binary discrete real-world problem. - Michal Witold Przewozniczek; Marcin Michal Komarnicki (Appl. Soft Comput., 2021)

Empirical linkage learning for non-binary discrete search spaces in the optimization of a large-scale real-world problem. - Michal Witold Przewozniczek; Marcin M. Komarnicki (GECCO Companion, 2022)

On turning black - into dark gray-optimization with the direct empirical linkage discovery and partition crossover. - Michal Witold Przewozniczek; Renato Tinós; Bartosz Frej; Marcin M. Komarnicki (GECCO, 2022)

Incremental Recursive Ranking Grouping for Large Scale Global Optimization. - Marcin Michal Komarnicki; Michal Witold Przewozniczek; Halina Kwasnicka (CoRR, 2022)

Incremental Recursive Ranking Grouping - A Decomposition Strategy for Additively and Nonadditively Separable Problems. - Marcin Michal Komarnicki; Michal Witold Przewozniczek; Halina Kwasnicka; Krzysztof Walkowiak (GECCO Companion, 2023)

To slide or not to slide? Moving along fitness levels and preserving the gene subsets diversity in modern evolutionary computation. - Michal Witold Przewozniczek; Marcin Michal Komarnicki (GECCO, 2023)

First Improvement Hill Climber with Linkage Learning - on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning Genetic Algorithms. - Michal Witold Przewozniczek; Renato Tinós; Marcin Michal Komarnicki (GECCO, 2023)

Incremental Recursive Ranking Grouping for Large-Scale Global Optimization. - Marcin Michal Komarnicki; Michal Witold Przewozniczek; Halina Kwasnicka; Krzysztof Walkowiak (IEEE Trans. Evol. Comput., 2023)

Overlapping Cooperative Co-Evolution for Overlapping Large-Scale Global Optimization Problems. - Marcin Michal Komarnicki; Michal Witold Przewozniczek; Renato Tinós; Xiaodong Li 001 (GECCO, 2024)

The hop-like problem nature - unveiling and modelling new features of real-world problems. - Michal Witold Przewozniczek; Bartosz Frej; Marcin M. Komarnicki (CoRR, 2024)

From Direct to Directional Variable Dependencies - Nonsymmetrical Dependencies Discovery in Real-World and Theoretical Problems. - Michal Witold Przewozniczek; Bartosz Frej; Marcin Michal Komarnicki (IEEE Trans. Evol. Comput., 2025)