Michal Witold Przewozniczek

51 papers A 14B 2Journal 21Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
On discovering and analyzing variable dependencies to construct an effective and efficient optimizer dedicated to solving the new real-world multi-objective resource-allocation problem.
Appl. Soft Comput.
Michal Witold Przewozniczek, Pawel Borys Myszkowski, Witold Kosciukiewicz, Mateusz Wójcik, Adam Gonczarek, Adam Korkus
2025 A conf
Availability of Perfect Decomposition in Statistical Linkage Learning for Unitation-Based Function Concatenations.
FOGA
Michal Prusik, Bartosz Frej, Michal Witold Przewozniczek
2025 J jnl
Availability of Perfect Decomposition in Statistical Linkage Learning for Unitation-based Function Concatenations.
CoRR
Michal Prusik, Bartosz Frej, Michal Witold Przewozniczek
2025 A conf
Conditional Direct Empirical Linkage Discovery for Solving Multi-Structured Problems.
FOGA
Michal Witold Przewozniczek, Peter A. N. Bosman, Anton Bouter, Arthur Guijt, Marcin M. Komarnicki, Dirk Thierens
2025 A conf
Empirical Linkage Discovery in Bi-Objective Optimization.
FOGA
Michal Witold Przewozniczek, Marcin M. Komarnicki, Renato Tinós
2025 J jnl
From Direct to Directional Variable Dependencies - Nonsymmetrical Dependencies Discovery in Real-World and Theoretical Problems.
IEEE Trans. Evol. Comput.
Michal Witold Przewozniczek, Bartosz Frej, Marcin Michal Komarnicki
2025 — conf
Genetic Feature Selection for Multimodal Wound Detection.
GECCO Companion
Agata M. Wijata, Maria J. Bienkowska, Michal Witold Przewozniczek, Jakub Nalepa
2025 — conf
Machine Learning and Genetic Algorithms: An Intricate Relationship for Locating Methane in Satellite Images.
GECCO Companion
Agata M. Wijata, Nicolas Longépé, Michal Witold Przewozniczek, Jakub Nalepa
2025 A conf
Moving between high-quality optima using multi-satisfiability characteristics in hard-to-solve Max3Sat instances.
GECCO
Jedrzej Piatek, Michal Witold Przewozniczek, Francisco Chicano, Renato Tinós
2025 J jnl
Moving between high-quality optima using multi-satisfiability characteristics in hard-to-solve Max3Sat instances.
CoRR
Jedrzej Piatek, Michal Witold Przewozniczek, Francisco Chicano, Renato Tinós
2025 — conf
On Defining and Discovering Non-Symmetrical Dependencies.
GECCO Companion
Michal Witold Przewozniczek, Bartosz Frej, Marcin M. Komarnicki
2025 A conf
On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient Influence.
GECCO
Michal Witold Przewozniczek, Francisco Chicano, Renato Tinós, Jakub Nalepa, Bogdan Ruszczak, Agata Wijata
2025 J jnl
Pareto Front Improvements Phase using linkage learning and mating restrictions for solving multi-objective industrial process planning problems with low-sized pareto fronts.
Expert Syst. Appl.
Szymon Niemczyk, Michal Witold Przewozniczek, Piotr Dziurzanski
2025 J jnl
Seeking and leveraging alternative variable dependency concepts in gray-box-elusive bimodal land-use allocation problems.
CoRR
Jakub Maciazek, Michal Witold Przewozniczek, Jonas Schwaab
2025 A conf
Subfunction Structure Matters: A New Perspective on Local Optima Networks.
GECCO
Sarah L. Thomson, Michal Witold Przewozniczek
2025 J jnl
Subfunction Structure Matters: A New Perspective on Local Optima Networks.
CoRR
S. L. Thomson, Michal Witold Przewozniczek
2025 — conf
Variable Importance and Interaction in Differential Evolution: Online Learning and a New Recombination Operator.
BRACIS (2)
Renato Tinós, Francisco Chicano, Michal Witold Przewozniczek
2024 J jnl
Iterated Local Search with Linkage Learning.
ACM Trans. Evol. Learn. Optim.
Renato Tinós, Michal Witold Przewozniczek, Darrell Whitley, Francisco Chicano
2024 A conf
Overlapping Cooperative Co-Evolution for Overlapping Large-Scale Global Optimization Problems.
GECCO
Marcin Michal Komarnicki, Michal Witold Przewozniczek, Renato Tinós, Xiaodong Li
2024 J jnl
The hop-like problem nature - unveiling and modelling new features of real-world problems.
CoRR
Michal Witold Przewozniczek, Bartosz Frej, Marcin M. Komarnicki
2023 A conf
First Improvement Hill Climber with Linkage Learning - on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning Genetic Algorithms.
GECCO
Michal Witold Przewozniczek, Renato Tinós, Marcin Michal Komarnicki
2023 — conf
Incremental Recursive Ranking Grouping - A Decomposition Strategy for Additively and Nonadditively Separable Problems.
GECCO Companion
Marcin Michal Komarnicki, Michal Witold Przewozniczek, Halina Kwasnicka, Krzysztof Walkowiak
2023 J jnl
Incremental Recursive Ranking Grouping for Large-Scale Global Optimization.
IEEE Trans. Evol. Comput.
Marcin Michal Komarnicki, Michal Witold Przewozniczek, Halina Kwasnicka, Krzysztof Walkowiak
2023 A conf
To slide or not to slide? Moving along fitness levels and preserving the gene subsets diversity in modern evolutionary computation.
GECCO
Michal Witold Przewozniczek, Marcin Michal Komarnicki
2022 — conf
Empirical linkage learning for non-binary discrete search spaces in the optimization of a large-scale real-world problem.
GECCO Companion
Michal Witold Przewozniczek, Marcin M. Komarnicki
2022 J jnl
Incremental Recursive Ranking Grouping for Large Scale Global Optimization.
CoRR
Marcin Michal Komarnicki, Michal Witold Przewozniczek, Halina Kwasnicka
2022 A conf
Iterated local search with perturbation based on variables interaction for pseudo-boolean optimization.
GECCO
Renato Tinós, Michal Witold Przewozniczek, Darrell Whitley
2022 A conf
On turning black - into dark gray-optimization with the direct empirical linkage discovery and partition crossover.
GECCO
Michal Witold Przewozniczek, Renato Tinós, Bartosz Frej, Marcin M. Komarnicki
2021 A conf
Direct linkage discovery with empirical linkage learning.
GECCO
Michal Witold Przewozniczek, Marcin Michal Komarnicki, Bartosz Frej
2021 J jnl
Empirical problem decomposition - the key to the evolutionary effectiveness in solving a large-scale non-binary discrete real-world problem.
Appl. Soft Comput.
Michal Witold Przewozniczek, Marcin Michal Komarnicki
2021 B conf
Fitness Caching - From a Minor Mechanism to Major Consequences in Modern Evolutionary Computation.
CEC
Michal Witold Przewozniczek, Marcin M. Komarnicki
2021 — conf
Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms.
GECCO Companion
Michal Witold Przewozniczek, Marcin M. Komarnicki, Peter A. N. Bosman, Dirk Thierens, Bartosz Frej, Ngoc Hoang Luong
2021 J jnl
Multi-Objective parameter-less population pyramid for solving industrial process planning problems.
Swarm Evol. Comput.
Michal Witold Przewozniczek, Piotr Dziurzanski, Shuai Zhao, Leandro Soares Indrusiak
2021 — conf
Multi-objective parameter-less population pyramid in solving the real-world and theoretical problems.
GECCO Companion
Michal Witold Przewozniczek, Piotr Dziurzanski, Shuai Zhao, Leandro Soares Indrusiak
2020 A conf
Comparative mixing for DSMGA-II.
GECCO
Marcin M. Komarnicki, Michal Witold Przewozniczek, Tomasz M. Durda
2020 J jnl
Empirical Linkage Learning.
IEEE Trans. Evol. Comput.
Michal Witold Przewozniczek, Marcin Michal Komarnicki
2020 — conf
Empirical linkage learning.
GECCO Companion
Michal Witold Przewozniczek, Marcin M. Komarnicki
2020 J jnl
Metaheuristic algorithms with solution encoding mixing for effective optimization of SDM optical networks.
Eng. Appl. Artif. Intell.
Michal Witold Przewozniczek, Róza Goscien, Piotr Lechowicz, Krzysztof Walkowiak
2020 J jnl
Multi-Objective Parameter-less Population Pyramid for Solving Industrial Process Planning Problems.
CoRR
Michal Witold Przewozniczek, Piotr Dziurzanski, Shuai Zhao, Leandro Soares Indrusiak
2020 A conf
On measuring and improving the quality of linkage learning in modern evolutionary algorithms applied to solve partially additively separable problems.
GECCO
Michal Witold Przewozniczek, Bartosz Frej, Marcin M. Komarnicki
2020 J jnl
Splitting the fitness and penalty factor for temporal diversity increase in practical problem solving.
Expert Syst. Appl.
Michal Witold Przewozniczek, Rituparna Datta, Krzysztof Walkowiak, Marcin Michal Komarnicki
2020 J jnl
Subpopulation initialization driven by linkage learning for dealing with the Long-Way-To-Stuck effect.
Inf. Sci.
Michal Witold Przewozniczek
2019 — conf
Parameter-less population pyramid with automatic feedback.
GECCO (Companion)
Adam M. Zielinski, Marcin M. Komarnicki, Michal Witold Przewozniczek
2019 — conf
Parameter-less, population-sizing DSMGA-II.
GECCO (Companion)
Marcin M. Komarnicki, Michal Witold Przewozniczek
2019 J jnl
The transformation of the k-Shortest Steiner trees search problem into binary dynamic problem for effective evolutionary methods application.
Inf. Sci.
Michal Witold Przewozniczek, Krzysztof Walkowiak, Arunabha Sen, Marcin Komarnicki, Piotr Lechowicz
2019 J jnl
Universal strategy of dynamic subpopulation number management in practical network optimization problems.
Appl. Soft Comput.
Michal Witold Przewozniczek, Róza Goscien
2018 — conf
The influence of fitness caching on modern evolutionary methods and fair computation load measurement.
GECCO (Companion)
Michal Witold Przewozniczek, Marcin M. Komarnicki
2017 — conf
Parameter-less population pyramid with feedback.
GECCO (Companion)
Marcin M. Komarnicki, Michal Witold Przewozniczek
2017 B conf
Problem Encoding Allowing Cheap Fitness Computation of Mutated Individuals.
CEC
Michal Witold Przewozniczek
2017 — conf
The Effectiveness of the Simplicity in Evolutionary Computation.
ACIIDS (2)
Michal Witold Przewozniczek, Krzysztof Walkowiak, Michal Aibin
2017 J jnl
The evolutionary cost of Baldwin effect in the routing and spectrum allocation problem in elastic optical networks.
Appl. Soft Comput.
Michal Witold Przewozniczek, Krzysztof Walkowiak, Michal Aibin