Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

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Dark Gray Box Optimization - developing of the new class of highly effective optimizers

2022/45/B/ST6/04150

Keywords:

model-based evolutionary algorithms Gray-box optimization Black-box optimization linkage learning genetic algorithms evolutionary algorithms optimization

Descriptors:

  • ST6_007:

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Wrocławska

woj. dolnośląskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr hab. Michał Witold Przewoźniczek 

Number of co-investigators in the project: 5

Call: OPUS 23 - announced on 2022-03-28

Amount awarded: 1 362 600 PLN

Project start date (Y-m-d): 2023-01-10

Project end date (Y-m-d): 2027-01-09

Project duration:: 48 months (the same as in the proposal)

Project status: Pending project

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (2)
  • Articles in post-conference publications (3)
  1. From Direct to Directional Variable Dependencies – Non-Symmetrical Dependencies Discovery in Real-World and Theoretical Problems
    Authors:
    M. W. Przewozniczek, B. Frej, M. M. Komarnicki
    Academic press:
    IEEE Transactions on Evolutionary Computation (rok: 2024, tom: Brak, strony: Brak), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TEVC.2024.3496193 - link to the publication
  2. Iterated Local Search with Linkage Learning
    Authors:
    R. Tinós, M. W. Przewozniczek, D. Whitley, F. Chicano
    Academic press:
    ACM Transactions on Evolutionary Learning (rok: 2023, tom: in press, strony: in press), Wydawca: ACM
    Status:
    Published
    DOI:
    10.1145/3651165 - link to the publication
  1. M. W. Przewozniczek, R. Tinós, M. M. Komarnicki, First Improvement Hill Climber with Linkage Learning -- on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning Genetic Algorithms
    Authors:
    M. W. Przewozniczek, R. Tinós, M. M. Komarnicki
    Conference:
    Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '23) (rok: 2023, tom: GECCO, strony: 946-954), Wydawca: ACM
    Data:
    konferencja July 15-19, 2023
    Status:
    Published
    DOI:
    10.1145/3583131.3590495 - link to the publication
  2. CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs
    Authors:
    Lukasz Tulczyjew, Michal Przewozniczek, Renato Tinós, Agata M. Wijata, Jakub Nalepa
    Conference:
    GECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference (rok: 2024, tom: GECCO 2024, strony: 412 - 421), Wydawca: ACM
    Data:
    konferencja July 14 - 18, 2024
    Status:
    Published
    DOI:
    10.1145/3638529.3654203 - link to the publication
  3. Genetic Algorithm with Linkage Learning
    Authors:
    R. Tinós, M. W. Przewozniczek, D. Whitley, F. Chicano
    Conference:
    Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '23) (rok: 2023, tom: GECCO, strony: 981-989), Wydawca: ACM
    Data:
    konferencja July 15-19, 2023
    Status:
    Published
    DOI:
    10.1145/3583131.3590349 - link to the publication

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