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  1. Branch-and-bound approach for optima localization in scheduling multiprocessor jobs

    Kononov, A., Kononova, P. & Gordeev, A., 1 Jan 2020, In: International Transactions in Operational Research. 27, 1, p. 381-393 13 p.

    Research output: Contribution to journal › Article › peer-review

  2. LP-Based Algorithms for Multistage Minimization Problems

    Bampis, E., Escoffier, B. & Kononov, A., 2021, Approximation and Online Algorithms - 18th International Workshop, WAOA 2020, Revised Selected Papers. Kaklamanis, C. & Levin, A. (eds.). Springer, p. 1-15 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12806 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  3. Non-Clairvoyant Makespan Minimization Scheduling with Predictions

    Bampis, E., Кононов, А. В., Lucarelli, G. & Pascual, F., Dec 2023, Leibniz International Proceedings in Informatics, LIPIcs. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, Vol. 283. 15 p. 9. (Leibniz International Proceedings in Informatics, LIPIcs; vol. 283).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  4. Preface

    Kononov, A., Strekalovsky, A., Posypkin, M. & Pyatkin, A., 1 Mar 2020, In: Journal of Global Optimization. 76, 3, p. 453-454 2 p.

    Research output: Contribution to journal › Article › peer-review

  5. Scheduling Malleable Jobs under Topological Constraints

    Bampis, E., Dogeas, K., Kononov, A., Lucarelli, G. & Pascual, F., 1 May 2020, Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium, IPDPS 2020. Institute of Electrical and Electronics Engineers Inc., p. 316-325 10 p. 9139853. (Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium, IPDPS 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  6. Scheduling under uncertainty: A Query-based Approach

    Arantes, L., Bampis, E., Kononov, A., Letsios, M., Lucarelli, G. & Sens, P., 1 Jan 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. International Joint Conferences on Artificial Intelligence, Vol. 2018-July. p. 4646-4652 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2018-July).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  7. Scheduling with Untrusted Predictions

    Bampis, E., Dogeas, K., Kononov, A., Lucarelli, G. & Pascual, F., 2022, Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022. De Raedt, L. (ed.). International Joint Conferences on Artificial Intelligence, p. 4581-4587 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  8. Speed scaling with explorable uncertainty

    Bampis, E., Dogeas, K., Kononov, A., Lucarelli, G. & Pascual, F., 6 Jul 2021, SPAA 2021 - Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures. Association for Computing Machinery, p. 83-93 11 p. (Annual ACM Symposium on Parallelism in Algorithms and Architectures).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  9. Two-machine flow shop with dynamic storage space

    Berlińska, J., Kononov, A. & Zinder, Y., Oct 2021, In: Optimization Letters. 15, 7, p. 2433-2454 22 p.

    Research output: Contribution to journal › Article › peer-review

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