1. 2025
  2. Heterogeneous Computational Scheduling using Adaptive Neural Hyper-heuristic

    Аллахвердян, А. Л., Жадан, А. Ю., Кондратов, И. В., Петросян, О. Л., Романовский, А., Харин, В. & Ли, И., 22 Mar 2025, In: Doklady Mathematics. 110, Suppl 1, p. 151-161

    Research output: Contribution to journalArticlepeer-review

  3. Multi-Agent Local Voting Protocol for Online DAG Scheduling

    Петросян, О. Л., Житнухин, Н. А., Жадан, А. Ю., Кондратов, И. В., Аллахвердян, А. Л., Граничин, О. Н., Романовский, А. & Харин, В., 1 Feb 2025, In: Computer Research and Modeling. 17, 1, p. 29-44 16 p.

    Research output: Contribution to journalArticlepeer-review

  4. 2024
  5. Comparison of multi-step forecasting methods for renewable energy

    Dolgintseva, E., Wu, H., Petrosian, O., Zhadan, A., Allakhverdyan, A. & Мартемьянов, А. А., 7 Mar 2024, (E-pub ahead of print) In: Energy Systems. 32 p.

    Research output: Contribution to journalArticlepeer-review

  6. 2023
  7. Multi-agent Reinforcement Learning based Adaptive Heterogeneous DAG Scheduling

    Петросян, О. Л., Жадан, А. Ю., Аллахвердян, А. Л., Кондратов, И. В., Михеев, В. С., Romanovskii, A. & Kharin, V., 3 Oct 2023, In: ACM Transactions on Intelligent Systems and Technology. 14, 5, 26 p., 87.

    Research output: Contribution to journalArticlepeer-review

  8. Monte Carlo Tree Search with Adaptive Estimation for DAG Scheduling

    Allahverdyan, A., Zhadan, A., Kondratov, I., Mikheev, V., Petrosian, O., Romanovskii, A. & Kharin, V., 8 Jul 2023, In: Lecture Notes in Computer Science. 13969, p. 335–349 15 p.

    Research output: Contribution to journalArticlepeer-review

  9. 2022

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