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Stały URI dla kolekcjihttp://hdl.handle.net/11652/4775

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Autorsearch.filters.applied.operator.equals: search.filters.author.Ignaciuk, PrzemysławMa przypisane plikisearch.filters.applied.operator.equals: Tak

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Teraz wyświetlane 1 - 2 z 2
  • Pozycja
    MPTCP Congestion Control Algorithms for Streaming Applications – Performance Evaluation in Public Networks
    (Wydawnictwo Politechniki Łódzkiej, 2023) Łuczak, Łukasz Piotr; Ignaciuk, Przemysław; Morawski, Michał
    Efficient data transfer for high-quality streaming requires fast speed, low latency, and stable transmission parameters. Utilizing multiple communication paths is a promising solution for improving performance. This paper evaluates the most common MPTCP congestion control algorithms in the context of streaming applications in the open Internet. The results show that the BALIA algorithm is the most effective CC algorithm for multi-path streaming. This algorithm achieves the lowest path delay and Head-of-Line blocking degree with consistent throughput. Conversely, the MPTCP CC algorithm wVegas exhibits the weakest performance.
  • Pozycja
    Dynamic Mutation Control in Continuous Genetic Algorithms
    (Wydawnictwo Politechniki Łódzkiej, 2023) Wieczorek, Łukasz; Ignaciuk, Przemysław
    In this paper the adaptability of the mutation operation in continuous genetic algorithms (CGAs) is taken into consideration from an analytical perspective. For this purpose, based on the notation that has previously been used to analyze the classical, binary genetic algorithm, a dynamic system model of CGA has been created. In order to adapt the mutation probability in successive generations, a linear controller has been applied. It allows one to accelerate the evolution process. As a result, faster convergence is obtained, as required in computationally intensive optimization problems.