Książki, monografie, podręczniki, rozdziały (WFTIiMS)
Stały URI dla kolekcjihttp://hdl.handle.net/11652/173
Przeglądaj
3 wyniki
collection.search.results.head
Pozycja MPTCP Congestion Control Algorithms for Streaming Applications – Performance Evaluation in Public Networks(Wydawnictwo Politechniki Łódzkiej, 2023) Łuczak, Łukasz Piotr; Ignaciuk, Przemysław; Morawski, MichałEfficient 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, PrzemysławIn 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.Pozycja BBO in solving complex optimization problems– bullwhip effect reduction in logistics networks(Wydawnictwo Politechniki Łódzkiej, 2021) Dziomdziora, Adam; Ignaciuk, PrzemysławThis chapter addresses Biogeography-Based Optimization (BBO) implementation for counteracting the bullwhip effect in logistic systems influenced by uncertain demand. The considered class of systems comprises two types of actors – controlled nodes and external sources – connected by unidirectional links. In this paper, the application of BBO is proposed to support the optimization problem of proper channel allocation in transportation links. BBO allows one to perform simulation-based optimization and provide desirable operating conditions to answer a priori unknown, timevarying demand. The effectiveness of the goods distribution process governed under a base-stock policy includes the objective function of mitigating the bullwhip effect and minimizing transportation costs. The introduced optimization problem is solved using BBO to find an optimal channel allocation matrix for a given topology. The results are verified in extensive simulations of a real-world logistic network.