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  1. 2019

  2. Improving Quality of Seaport's Work Schedule: Using Aggregated Indices Randomization Method

    Васильева, О. В., Kiyaev, V. & Azarov, A., 2 Dec 2019, Intelligent information technologies for industry: Scientific papers of 4-th International Scientific Conference (IITI-19). Kovalev, S. (ed.). Print ed. Germany Respublic: Springer Nature, p. 517-522 6 p. (Advances in Intelligent Systems and Computing; vol. 1156).

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

  3. Метод рандомизированных сводных показателей: оценка показателей объектов при формировании динамического расписания работ в морском порту

    Азаров, А., Васильева, О. В. & Кияев, В. И., 7 Nov 2019, Технологическая перспектива в рамках евразийского пространства: новые рынки и точки экономического роста: Труды 5-й Международной научной конференции. СПб: «Астерион», p. 250-255 6 p.

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

  4. Generation of efficient cargo operation schedule at seaport with the use of multiagent technologies and genetic algorithms

    Vasileva, O. & Kiyaev, V., 2019, Proceedings of the 3rd International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) - Volume 1. Abraham, A., Snasel, V., Kovalev, S., Sukhanov, A. & Tarassov, V. (eds.). Springer Nature, p. 401-409 9 p. (Advances in Intelligent Systems and Computing; vol. 874).

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

  5. 2018

  6. Monitoring and controlling the execution of the sea cargo port operation's schedule based on multi-agent technologies

    Vasileva, O. & Kiyaev, V., 2018, 2nd International Scientific and Practical Conference ""Fuzzy Technologies in the Industry - FTI"". p. 243-248 6 p. (CEUR Workshop Proceedings; vol. 2258).

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

ID: 18604356