| Multi population pattern searching algorithm: a new evolutionary method based on the idea of messy genetic algorithm H Kwasnicka, M Przewozniczek IEEE Transactions on evolutionary computation 15 (5), 715-734, 2011 | 40 | 2011 |
| Empirical linkage learning MW Przewozniczek, MM Komarnicki Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 32 | 2020 |
| Optimizing distributed computing systems for k-nearest neighbours classifiers—evolutionary approach M Przewozniczek, K Walkowiak, M Wozniak Logic Journal of IGPL 19 (2), 357-372, 2011 | 27 | 2011 |
| Towards solving practical problems of large solution space using a novel pattern searching hybrid evolutionary algorithm–an elastic optical network optimization case study M Przewoźniczek, R Goścień, K Walkowiak, M Klinkowski Expert Systems with Applications 42 (21), 7781-7796, 2015 | 25 | 2015 |
| Modeling and optimization of survivable P2P multicasting K Walkowiak, M Przewoźniczek Computer Communications 34 (12), 1410-1424, 2011 | 24 | 2011 |
| Active Multi-Population Pattern Searching Algorithm for flow optimization in computer networks–The novel coevolution schema combined with linkage learning M Przewozniczek Information Sciences 355, 15-36, 2016 | 21 | 2016 |
| Cloud-based dynamic distributed optimisation of integrated process planning and scheduling in smart factories S Zhao, P Dziurzanski, M Przewozniczek, M Komarnicki, LS Indrusiak Proceedings of the Genetic and Evolutionary Computation Conference, 1381-1389, 2019 | 17 | 2019 |
| The evolutionary cost of Baldwin effect in the routing and spectrum allocation problem in elastic optical networks MW Przewozniczek, K Walkowiak, M Aibin Applied Soft Computing 52, 843-862, 2017 | 15 | 2017 |
| Quasi-hierarchical evolutionary algorithm for flow optimization in survivable MPLS networks M Przewoźniczek, K Walkowiak Computational Science and Its Applications–ICCSA 2007: International …, 2007 | 15 | 2007 |
| Scalable distributed evolutionary algorithm orchestration using Docker containers P Dziurzanski, S Zhao, M Przewozniczek, M Komarnicki, LS Indrusiak Journal of Computational Science 40, 101069, 2020 | 14 | 2020 |
| Quasi-hierarchical evolution algorithm for flow assignment in survivable connection-oriented networks M Przewoźniczek, K Walkowiak International Journal of Applied Mathematics and Computer Science 16 (4 …, 2006 | 14 | 2006 |
| On measuring and improving the quality of linkage learning in modern evolutionary algorithms applied to solve partially additively separable problems MW Przewozniczek, B Frej, MM Komarnicki Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 742-750, 2020 | 13 | 2020 |
| Direct linkage discovery with empirical linkage learning MW Przewozniczek, MM Komarnicki, B Frej Proceedings of the Genetic and Evolutionary Computation Conference, 609-617, 2021 | 12 | 2021 |
| Multi-Objective parameter-less population pyramid for solving industrial process planning problems MW Przewozniczek, P Dziurzanski, S Zhao, LS Indrusiak Swarm and Evolutionary Computation 60, 100773, 2021 | 12 | 2021 |
| Evolutionary algorithm for congestion problem in connection-oriented networks M Przewoźniczek, K Walkowiak International Conference on Computational Science and Its Applications, 802-811, 2005 | 12 | 2005 |
| Problem encoding allowing cheap fitness computation of mutated individuals MW Przewozniczek 2017 IEEE Congress on Evolutionary Computation (CEC), 308-316, 2017 | 11 | 2017 |
| Incremental recursive ranking grouping for large scale global optimization MM Komarnicki, MW Przewozniczek, H Kwasnicka, K Walkowiak IEEE Transactions on Evolutionary Computation, 2022 | 10 | 2022 |
| The influence of fitness caching on modern evolutionary methods and fair computation load measurement MW Przewozniczek, MM Komarnicki Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 10 | 2018 |
| Heuristic algorithms for survivable P2P multicasting K Walkowiak, M Przewoźniczek, K Pająk Applied Artificial Intelligence 27 (4), 278-303, 2013 | 10 | 2013 |
| Iterated local search with perturbation based on variables interaction for pseudo-boolean optimization R Tinós, MW Przewozniczek, D Whitley Proceedings of the Genetic and Evolutionary Computation Conference, 296-304, 2022 | 9 | 2022 |
