Showing 1 - 20 of 171

2

Availability of Perfect Decomposition in Statistical Linkage Learning for Unitation-based Function Concatenations
Prusik, Michal ; Frej, Bartosz ; Przewozniczek, Michal W.

Computer Science - Neura... Computer Science - Machi... Mathematics - Optimizati...
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3

Iterated Local Search with Linkage Learning
Tinós, Renato ; Przewozniczek, Michal W. ; Whitley, Darrell ; et al.
ACM Transactions on Evolutionary Learning and Optimization, Volume 4, Issue 2 Article No.: 7, Pages 1 - 29, 2024

Computer Science - Artif...
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4

The hop-like problem nature -- unveiling and modelling new features of real-world problems
Przewozniczek, Michal W. ; Frej, Bartosz ; Komarnicki, Marcin M.

Computer Science - Neura...
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5

Seeking and leveraging alternative variable dependency concepts in gray-box-elusive bimodal land-use allocation problems
Maciążek, Jakub ; Przewozniczek, Michal ; Schwaab, Jonas ; et al.
GECCO '25: Proceedings of the Genetic and Evolutionary Computation Conference

land-use allocation multi-objective optimiza... Variable dependency Gray-box optimization Genetic Algorithms Evolutionary Algorithms
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6

Pareto Front Improvements Phase using linkage learning and mating restrictions for solving multi-objective industrial process planning problems with low-sized pareto fronts
Niemczyk, Szymon ; Przewozniczek, Michal Witold ; Dziurzanski, Piotr
In Expert Systems With Applications 10 May 2025 273

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7

Incremental Recursive Ranking Grouping for Large Scale Global Optimization
Komarnicki, Marcin Michal ; Przewozniczek, Michal Witold ; Kwasnicka, Halina ; et al.

Computer Science - Neura...
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8

From Direct to Directional Variable Dependencies—Nonsymmetrical Dependencies Discovery in Real-World and Theoretical Problems
Przewozniczek, Michal Witold ; Frej, Bartosz ; Michal Komarnicki, Marcin ; et al.
IEEE Transactions on Evolutionary Computation ; volume 29, issue 2, page 490-504 ; ISSN 1089-778X 1089-778X 1941-0026

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9

Multi-Objective Parameter-less Population Pyramid for Solving Industrial Process Planning Problems
Przewozniczek, Michal Witold ; Dziurzanski, Piotr ; Zhao, Shuai ; et al.

Computer Science - Neura...
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10

CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs
Tulczyjew, Lukasz ; Przewozniczek, Michal ; Tinós, Renato ; et al.
Proceedings of the Genetic and Evolutionary Computation Conference ; page 412-421

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11

Overlapping Cooperative Co-Evolution for Overlapping Large-Scale Global Optimization Problems
Komarnicki, Marcin Michal ; Przewozniczek, Michal Witold ; Tinós, Renato ; et al.
Proceedings of the Genetic and Evolutionary Computation Conference ; page 665-673

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12

Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms
Przewozniczek, Michal W ; Komarnicki, Marcin M ; Bosman, P.A.N. ; et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion. :1442-1450

Model Building Genetic Algorithm LinkageLearning Taverne Empirical linkage learni... 0211 other engineering a...
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13

Genetic Algorithm with Linkage Learning
Tinós, Renato ; Przewozniczek, Michal ; Whitley, Darrell ; et al.
Proceedings of the Genetic and Evolutionary Computation Conference ; page 981-989

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14

First Improvement Hill Climber with Linkage Learning -- on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning Genetic Algorithms
Przewozniczek, Michal Witold ; Tinós, Renato ; Komarnicki, Marcin Michal ; et al.
Proceedings of the Genetic and Evolutionary Computation Conference ; page 946-954

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15

To slide or not to slide? Moving along fitness levels and preserving the gene subsets diversity in modern evolutionary computation
Przewozniczek, Michal Witold ; Komarnicki, Marcin Michal ; Polish National Science Centre (NCN)
Proceedings of the Genetic and Evolutionary Computation Conference ; page 955-962

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16

Conditional Direct Empirical Linkage Discovery for Solving Multi-Structured Problems
Przewozniczek, Michal W. ; Bosman, Peter A.N. ; Bouter, Anton ; et al.
Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms ; page 238-249

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17

Empirical Linkage Discovery in Bi-Objective Optimization
Przewozniczek, Michal W. ; Komarnicki, Marcin M. ; Tinós, Renato ; et al.
Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms ; page 250-261

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18

On Defining and Discovering Non-Symmetrical Dependencies
Przewozniczek, Michal W. ; Frej, Bartosz ; Komarnicki, Marcin M. ; et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion ; page 53-54

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19

Machine Learning and Genetic Algorithms: An Intricate Relationship for Locating Methane in Satellite Images
Wijata, Agata M. ; Longépé, Nicolas ; Przewozniczek, Michal W. ; et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion ; page 931-934

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20

Genetic Feature Selection for Multimodal Wound Detection
Wijata, Agata M. ; Bieńkowska, Maria ; Przewozniczek, Michal W. ; et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion ; page 927-930

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