Michał Przewozniczek
Michał Przewozniczek
Verified email at pwr.edu.pl - Homepage
Title
Cited by
Cited by
Year
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
322011
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
272011
Modeling and optimization of survivable P2P multicasting
K Walkowiak, M Przewoźniczek
Computer Communications 34 (12), 1410-1424, 2011
232011
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
212016
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
202015
Quasi-hierarchical evolutionary algorithm for flow optimization in survivable MPLS networks
M Przewoźniczek, K Walkowiak
International Conference on Computational Science and Its Applications, 330-342, 2007
132007
Quasi–hierarchical evolution algorithm for flow assignment in survivable connection–oriented networks
MP ZNICZEK, K Walkowiak
Int. J. Appl. Math. Comput. Sci 16 (4), 487-502, 2006
132006
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
122017
Evolutionary algorithm for congestion problem in connection-oriented networks
M Przewoźniczek, K Walkowiak
International Conference on Computational Science and Its Applications, 802-811, 2005
112005
Heuristic algorithms for survivable P2P multicasting
K Walkowiak, M Przewoźniczek, K Pająk
Applied Artificial Intelligence 27 (4), 278-303, 2013
102013
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
72019
Parameter-less population pyramid with feedback
MM Komarnicki, MW Przewozniczek
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
72017
Problem encoding allowing cheap fitness computation of mutated individuals
MW Przewozniczek
2017 IEEE Congress on Evolutionary Computation (CEC), 308-316, 2017
62017
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
52018
The effectiveness of the simplicity in evolutionary computation
MW Przewozniczek, K Walkowiak, M Aibin
Asian Conference on Intelligent Information and Database Systems, 392-402, 2017
52017
Towards finding an effective way of discrete problems solving: the particle swarm optimization, genetic algorithm and linkage learning techniques hybrydization
BA Fidrysiak, MW Przewozniczek
2015 7th International Joint Conference on Computational Intelligence (IJCCI …, 2015
52015
The transformation of the k-Shortest Steiner trees search problem into binary dynamic problem for effective evolutionary methods application
MW Przewoźniczek, K Walkowiak, A Sen, M Komarnicki, P Lechowicz
Information Sciences 479, 1-19, 2019
42019
Towards finding an effective uniform and single point crossover balance for optimization of Elastic Optical Networks
M Przewozniczek
2015 Second European Network Intelligence Conference, 40-46, 2015
42015
Dynamic subpopulation number control for solving routing and spectrum allocation problems in elastic optical networks
M Przewozniczek
2016 Third European Network Intelligence Conference (ENIC), 257-264, 2016
32016
Multi population pattern searching algorithm for solving routing spectrum allocation with joint unicast and anycast problem in elastic optical networks
M Przewozniczek
International Conference on Intelligent Data Engineering and Automated …, 2015
32015
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Articles 1–20