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From Direct to Directional Variable Dependencies – Non-Symmetrical Dependencies Discovery in Real-World and Theoretical Problems

IEEE Transactions on Evolutionary Computation
2024 | Journal article
Contributors: Michal Witold Przewozniczek; Bartosz Frej; Marcin Michal Komarnicki
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Crossref

CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs

2024-07-14 | Conference paper
Contributors: Lukasz Tulczyjew; Michal Przewozniczek; Renato Tinós; Agata M. Wijata; Jakub Nalepa
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Overlapping Cooperative Co-Evolution for Overlapping Large-Scale Global Optimization Problems

2024-07-14 | Conference paper
Contributors: Marcin Michal Komarnicki; Michal Witold Przewozniczek; Renato Tinós; Xiaodong Li
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Iterated Local Search with Linkage Learning

ACM Transactions on Evolutionary Learning and Optimization
2024-06-30 | Journal article
Contributors: Renato Tinós; Michal W. Przewozniczek; Darrell Whitley; Francisco Chicano
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Crossref

Incremental Recursive Ranking Grouping for Large-Scale Global Optimization

IEEE Transactions on Evolutionary Computation
2023-10 | Journal article
Contributors: Marcin Michal Komarnicki; Michal Witold Przewozniczek; Halina Kwasnicka; Krzysztof Walkowiak
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First Improvement Hill Climber with Linkage Learning -- on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning Genetic Algorithms

2023-07-15 | Conference paper
Contributors: Michal Witold Przewozniczek; Renato Tinós; Marcin Michal Komarnicki
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Genetic Algorithm with Linkage Learning

2023-07-15 | Conference paper
Contributors: Renato Tinós; Michal Przewozniczek; Darrell Whitley; Francisco Chicano
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Incremental Recursive Ranking Grouping -- A Decomposition Strategy for Additively and Nonadditively Separable Problems

2023-07-15 | Conference paper
Contributors: Marcin Michal Komarnicki; Michal Witold Przewozniczek; Halina Kwasnicka; Krzysztof Walkowiak
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Crossref

To slide or not to slide? Moving along fitness levels and preserving the gene subsets diversity in modern evolutionary computation

2023-07-15 | Conference paper
Contributors: Michal Witold Przewozniczek; Marcin Michal Komarnicki
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Direct linkage discovery with empirical linkage learning

GECCO 2021 - Proceedings of the 2021 Genetic and Evolutionary Computation Conference
2021 | Conference paper
EID:

2-s2.0-85110086712

Contributors: Przewozniczek, M.W.; Komarnicki, M.M.; Frej, B.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Fitness Caching - From a Minor Mechanism to Major Consequences in Modern Evolutionary Computation

2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings
2021 | Conference paper
EID:

2-s2.0-85124595587

Contributors: Przewozniczek, M.W.; Komarnicki, M.M.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms

GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion
2021 | Conference paper
EID:

2-s2.0-85111006412

Contributors: Przewozniczek, M.W.; Komarnicki, M.M.; Bosman, P.A.N.; Thierens, D.; Frej, B.; Luong, N.H.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Multi-Objective parameter-less population pyramid for solving industrial process planning problems

Swarm and Evolutionary Computation
2021 | Journal article
EID:

2-s2.0-85091194689

Part of ISSN: 22106502
Contributors: Przewozniczek, M.W.; Dziurzanski, P.; Zhao, S.; Indrusiak, L.S.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Multi-objective parameter-less population pyramid in solving the real-world and theoretical problems

GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion
2021 | Conference paper
EID:

2-s2.0-85111022252

Contributors: Przewozniczek, M.W.; Dziurzanski, P.; Zhao, S.; Indrusiak, L.S.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Empirical problem decomposition — the key to the evolutionary effectiveness in solving a large-scale non-binary discrete real-world problem

Applied Soft Computing
2021-12 | Journal article
Contributors: Michal Witold Przewozniczek; Marcin Michal Komarnicki
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Comparative mixing for DSMGA-II

GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference
2020 | Conference paper
EID:

2-s2.0-85091311864

Contributors: Komarnicki, M.M.; Przewozniczek, M.W.; Durda, T.M.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Empirical linkage learning

GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
2020 | Conference paper
EID:

2-s2.0-85089741326

Contributors: Przewozniczek, M.W.; Komarnicki, M.M.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Metaheuristic algorithms with solution encoding mixing for effective optimization of SDM optical networks

Engineering Applications of Artificial Intelligence
2020 | Journal article
EID:

2-s2.0-85089140870

Part of ISSN: 09521976
Contributors: Przewozniczek, M.W.; Goścień, R.; Lechowicz, P.; Walkowiak, K.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Multi-objective parameter-less population pyramid for solving industrial process planning problems

arXiv
2020 | Other
EID:

2-s2.0-85098412703

Part of ISSN: 23318422
Contributors: Przewozniczek, M.W.; Dziurzanski, P.; Zhao, S.; Indrusiak, L.S.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

On measuring and improving the quality of linkage learning in modern evolutionary algorithms applied to solve partially additively separable problems

GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference
2020 | Conference paper
EID:

2-s2.0-85091198509

Contributors: Przewozniczek, M.W.; Frej, B.; Komarnicki, M.M.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Parameter-less population pyramid for permutation-based problems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020 | Book
EID:

2-s2.0-85091307204

Part of ISSN: 16113349 03029743
Contributors: Wozniak, S.; Przewozniczek, M.W.; Komarnicki, M.M.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Scalable distributed evolutionary algorithm orchestration using Docker containers

Journal of Computational Science
2020 | Journal article
EID:

2-s2.0-85077750492

Part of ISSN: 18777503
Contributors: Dziurzanski, P.; Zhao, S.; Przewozniczek, M.; Komarnicki, M.; Indrusiak, L.S.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Empirical Linkage Learning

IEEE Transactions on Evolutionary Computation
2020-12 | Journal article
Contributors: Michal Witold Przewozniczek; Marcin Michal Komarnicki
Source: check_circle
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Subpopulation initialization driven by linkage learning for dealing with the Long-Way-To-Stuck effect

Information Sciences
2020-06 | Journal article
Contributors: Michał Witold Przewoźniczek
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Splitting the fitness and penalty factor for temporal diversity increase in practical problem solving

Expert Systems with Applications
2020-05 | Journal article
Contributors: Michal Witold Przewozniczek; Rituparna Datta; Krzysztof Walkowiak; Marcin Michal Komarnicki
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Cloud-based Dynamic Distributed Optimisation of Integrated Process Planning and Scheduling in Smart Factories

GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference
2019 | Conference paper
EID:

2-s2.0-85072332323

Contributors: Zhao, S.; Dziurzanski, P.; Przewozniczek, M.; Komarnicki, M.; Indrusiak, L.S.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Cloud-Based Integrated Process Planning and Scheduling Optimisation via Asynchronous Islands

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2019 | Book
EID:

2-s2.0-85076671553

Part of ISSN: 16113349 03029743
Contributors: Zhao, S.; Mei, H.; Dziurzanski, P.; Przewozniczek, M.; Indrusiak, L.S.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Parameter-less population pyramid with automatic feedback

GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
2019 | Conference paper
EID:

2-s2.0-85070594751

Contributors: Zielinski, A.M.; Komarnicki, M.M.; Przewozniczek, M.W.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Parameter-less, Population-sizing DSMGA-II

GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
2019 | Conference paper
EID:

2-s2.0-85070657079

Contributors: Komarnicki, M.M.; Przewozniczek, M.W.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Universal strategy of dynamic subpopulation number management in practical network optimization problems

Applied Soft Computing
2019-09 | Journal article
Contributors: Michał Witold Przewoźniczek; Róża Goścień
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The transformation of the k-Shortest Steiner trees search problem into binary dynamic problem for effective evolutionary methods application

Information Sciences
2019-04 | Journal article
Contributors: Michał Witold Przewoźniczek; Krzysztof Walkowiak; Arunabha Sen; Marcin Komarnicki; Piotr Lechowicz
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The influence of fitness caching on modern evolutionary methods and fair computation load measurement

GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
2018 | Conference paper
EID:

2-s2.0-85051480288

Contributors: Przewozniczek, M.W.; Komarnicki, M.M.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

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, FedCSIS 2018
2018 | Conference paper
EID:

2-s2.0-85057232330

Contributors: Przewozniczek, M.; Komarnicki, M.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Problem Encoding Allowing Cheap Fitness Computation of Mutated Individuals

2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings
2017 | Conference paper
EID:

2-s2.0-85027888144

Contributors: Przewozniczek, M.W.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

The effectiveness of the simplicity in evolutionary computation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | Book
EID:

2-s2.0-85018523908

Part of ISSN: 16113349 03029743
Contributors: Przewozniczek, M.W.; Walkowiak, K.; Aibin, M.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

The evolutionary cost of Baldwin effect in the routing and spectrum allocation problem in elastic optical networks

Applied Soft Computing
2017-03 | Journal article
Contributors: Michal Witold Przewozniczek; Krzysztof Walkowiak; Michal Aibin
Source: check_circle
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Dynamic subpopulation number control for solving routing and spectrum allocation problems in elastic optical networks

Proceedings - 2016 3rd European Network Intelligence Conference, ENIC 2016
2016 | Conference paper
EID:

2-s2.0-85015256039

Contributors: Przewozniczek, M.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Linked genes migration in Island Models

IJCCI 2016 - Proceedings of the 8th International Joint Conference on Computational Intelligence
2016 | Conference paper
EID:

2-s2.0-85006382026

Contributors: Komarnicki, M.M.; Przewozniczek, M.W.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Active Multi-Population Pattern Searching Algorithm for flow optimization in computer networks – The novel coevolution schema combined with linkage learning

Information Sciences
2016-08 | Journal article
Contributors: Michal Przewozniczek
Source: check_circle
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Constructive heuristics for technology-driven Resource Constrained Scheduling Problem

Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015
2015 | Conference paper
EID:

2-s2.0-84958060348

Contributors: Myszkowski, P.B.; Przewoźniczek, M.; Skowroński, M.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Multi population pattern searching algorithm for solving routing spectrum allocation with joint unicast and anycast problem in elastic optical networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2015 | Book
EID:

2-s2.0-84983661527

Part of ISSN: 16113349 03029743
Contributors: Przewozniczek, M.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Towards Finding an Effective Uniform and Single Point Crossover Balance for Optimization of Elastic Optical Networks

Proceedings - 2nd European Network Intelligence Conference, ENIC 2015
2015 | Conference paper
EID:

2-s2.0-84964612366

Contributors: Przewozniczek, M.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Towards finding an effective way of discrete problems solving: The particle swarm optimization, genetic algorithm and linkage learning techniques hybrydization

IJCCI 2015 - Proceedings of the 7th International Joint Conference on Computational Intelligence
2015 | Conference paper
EID:

2-s2.0-84961183218

Contributors: Fidrysiak, B.A.; Przewozniczek, M.W.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Towards solving practical problems of large solution space using a novel pattern searching hybrid evolutionary algorithm - An elastic optical network optimization case study

Expert Systems with Applications
2015 | Journal article
EID:

2-s2.0-84933544605

Part of ISSN: 09574174
Contributors: Przewoźniczek, M.; Gos̈cień, R.; Walkowiak, K.; Klinkowski, M.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Heuristic algorithms for survivable P2P multicasting

Applied Artificial Intelligence
2013 | Journal article
EID:

2-s2.0-84876125955

Part of ISSN: 08839514 10876545
Contributors: Walkowiak, K.; Przewoźniczek, M.; Paja̧k, K.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Modeling and optimization of survivable P2P multicasting

Computer Communications
2011 | Journal article
EID:

2-s2.0-79959373532

Part of ISSN: 01403664
Contributors: Walkowiak, K.; Przewoźniczek, M.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Multi population pattern searching algorithm: A new evolutionary method based on the idea of messy genetic algorithm

IEEE Transactions on Evolutionary Computation
2011 | Journal article
EID:

2-s2.0-80054678453

Part of ISSN: 1089778X
Contributors: Kwasnicka, H.; Przewozniczek, M.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Optimizing distributed computing systems for k-nearest neighbours classifiers-evolutionary approach

Logic Journal of the IGPL
2011 | Journal article
EID:

2-s2.0-79954532609

Part of ISSN: 13689894 13670751
Contributors: Przewozniczek, M.; Walkowiak, K.; Wozniak, M.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Quasi-hierarchical evolutionary algorithm for flow optimization in survivable MPLS networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2007 | Book
EID:

2-s2.0-38149109817

Part of ISSN: 16113349 03029743
Contributors: Przewoźniczek, M.; Walkowiak, K.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier

Quasi-hierarchical evolution algorithm for flow assignment in survivable connection-oriented networks

International Journal of Applied Mathematics and Computer Science
2006 | Journal article
EID:

2-s2.0-33846324398

Part of ISSN: 1641876X
Contributors: Przewoźniczek, M.; Walkowiak, K.
Source: Self-asserted source
Michal Przewozniczek via Scopus - Elsevier
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Peer review (10 reviews for 4 publications/grants)

Review activity for Applied soft computing. (2)
Review activity for Engineering applications of artificial intelligence. (3)
Review activity for Knowledge-based systems. (1)
Review activity for Swarm and evolutionary computation. (4)