Michal Przewozniczek
Orcid: 0000-0003-2446-6473
According to our database1,
Michal Przewozniczek
authored at least 49 papers
between 2005 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
IEEE Trans. Evol. Comput., October, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
First Improvement Hill Climber with Linkage Learning - on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
To slide or not to slide? Moving along fitness levels and preserving the gene subsets diversity in modern evolutionary computation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Incremental Recursive Ranking Grouping - A Decomposition Strategy for Additively and Nonadditively Separable Problems.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
CoRR, 2022
Iterated local search with perturbation based on variables interaction for pseudo-boolean optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
On turning black - into dark gray-optimization with the direct empirical linkage discovery and partition crossover.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Empirical linkage learning for non-binary discrete search spaces in the optimization of a large-scale real-world problem.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
Multi-Objective parameter-less population pyramid for solving industrial process planning problems.
Swarm Evol. Comput., 2021
Empirical problem decomposition - the key to the evolutionary effectiveness in solving a large-scale non-binary discrete real-world problem.
Appl. Soft Comput., 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Multi-objective parameter-less population pyramid in solving the real-world and theoretical problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Fitness Caching - From a Minor Mechanism to Major Consequences in Modern Evolutionary Computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
J. Comput. Sci., 2020
Subpopulation initialization driven by linkage learning for dealing with the Long-Way-To-Stuck effect.
Inf. Sci., 2020
Splitting the fitness and penalty factor for temporal diversity increase in practical problem solving.
Expert Syst. Appl., 2020
Metaheuristic algorithms with solution encoding mixing for effective optimization of SDM optical networks.
Eng. Appl. Artif. Intell., 2020
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
On measuring and improving the quality of linkage learning in modern evolutionary algorithms applied to solve partially additively separable problems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
The transformation of the k-Shortest Steiner trees search problem into binary dynamic problem for effective evolutionary methods application.
Inf. Sci., 2019
Universal strategy of dynamic subpopulation number management in practical network optimization problems.
Appl. Soft Comput., 2019
Cloud-Based Integrated Process Planning and Scheduling Optimisation via Asynchronous Islands.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Cloud-based dynamic distributed optimisation of integrated process planning and scheduling in smart factories.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
2018
The influence of fitness caching on modern evolutionary methods and fair computation load measurement.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
The Practical Use of Problem Encoding Allowing Cheap Fitness Computation of Mutated Individuals.
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018
2017
The evolutionary cost of Baldwin effect in the routing and spectrum allocation problem in elastic optical networks.
Appl. Soft Comput., 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017
2016
Active Multi-Population Pattern Searching Algorithm for flow optimization in computer networks - The novel coevolution schema combined with linkage learning.
Inf. Sci., 2016
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016
Dynamic Subpopulation Number Control for Solving Routing and Spectrum Allocation Problems in Elastic Optical Networks.
Proceedings of the Third European Network Intelligence Conference, 2016
2015
Towards solving practical problems of large solution space using a novel pattern searching hybrid evolutionary algorithm - An elastic optical network optimization case study.
Expert Syst. Appl., 2015
Towards Finding an Effective Way of Discrete Problems Solving: The Particle Swarm Optimization, Genetic Algorithm and Linkage Learning Techniques Hybrydization.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015
Multi Population Pattern Searching Algorithm for Solving Routing Spectrum Allocation with Joint Unicast and Anycast Problem in Elastic Optical Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015
Constructive heuristics for technology-driven Resource Constrained Scheduling Problem.
Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015
Towards Finding an Effective Uniform and Single Point Crossover Balance for Optimization of Elastic Optical Networks.
Proceedings of the 2015 Second European Network Intelligence Conference, 2015
2013
2011
Multi Population Pattern Searching Algorithm: A New Evolutionary Method Based on the Idea of Messy Genetic Algorithm.
IEEE Trans. Evol. Comput., 2011
Optimizing distributed computing systems for <i>k-nearest neighbours</i> classifiers - evolutionary approach.
Log. J. IGPL, 2011
2007
Quasi-hierarchical Evolutionary Algorithm for Flow Optimization in Survivable MPLS Networks.
Proceedings of the Computational Science and Its Applications, 2007
2005
Proceedings of the Computational Science and Its Applications, 2005