Michal Przewozniczek

Orcid: 0000-0003-2446-6473

According to our database1, Michal Przewozniczek authored at least 53 papers between 2005 and 2024.

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Bibliography

2024
Iterated Local Search with Linkage Learning.
ACM Trans. Evol. Learn. Optim., June, 2024

The hop-like problem nature - unveiling and modelling new features of real-world problems.
CoRR, 2024

CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Overlapping Cooperative Co-Evolution for Overlapping Large-Scale Global Optimization Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023
Incremental Recursive Ranking Grouping for Large-Scale Global Optimization.
IEEE Trans. Evol. Comput., October, 2023

Genetic Algorithm with Linkage Learning.
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
Incremental Recursive Ranking Grouping for Large Scale Global Optimization.
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

Direct linkage discovery with empirical linkage learning.
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
Empirical Linkage Learning.
IEEE Trans. Evol. Comput., 2020

Scalable distributed evolutionary algorithm orchestration using Docker containers.
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

Parameter-Less Population Pyramid for Permutation-Based Problems.
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

Comparative mixing for DSMGA-II.
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

Parameter-less population pyramid with automatic feedback.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Parameter-less, population-sizing DSMGA-II.
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

Parameter-less population pyramid with feedback.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Problem Encoding Allowing Cheap Fitness Computation of Mutated Individuals.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

The Effectiveness of the Simplicity in Evolutionary Computation.
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

Linked Genes Migration in Island Models.
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
Heuristic Algorithms for Survivable P2P Multicasting.
Appl. Artif. Intell., 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

Modeling and optimization of survivable P2P multicasting.
Comput. Commun., 2011

2007
Quasi-hierarchical Evolutionary Algorithm for Flow Optimization in Survivable MPLS Networks.
Proceedings of the Computational Science and Its Applications, 2007

2005
Evolutionary Algorithm for Congestion Problem in Connection-Oriented Networks.
Proceedings of the Computational Science and Its Applications, 2005


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