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    Wyświetlanie 1-11 z 11
    Tytuł:
    Swarm algorithms for NLP : the case of limited training data
    Autorzy:
    Tambouratzis, George
    Vassiliou, Marina
    Powiązania:
    https://bibliotekanauki.pl/articles/1396739.pdf
    Data publikacji:
    2019
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    particle swarm optimisation
    natural language processing
    text phrasing
    machine translation
    Opis:
    The present article describes a novel phrasing model which can be used for segmenting sentences of unconstrained text into syntactically-defined phrases. This model is based on the notion of attraction and repulsion forces between adjacent words. Each of these forces is weighed appropriately by system parameters, the values of which are optimised via particle swarm optimisation. This approach is designed to be language-independent and is tested here for different languages. The phrasing model’s performance is assessed per se, by calculating the segmentation accuracy against a golden segmentation. Operational testing also involves integrating the model to a phrase-based Machine Translation (MT) system and measuring the translation quality when the phrasing model is used to segment input text into phrases. Experiments show that the performance of this approach is comparable to other leading segmentation methods and that it exceeds that of baseline systems.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2019, 9, 3; 219-234
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Seismic bearing capacity of shallow strip footing embedded in slope resting on two-layered soil
    Autorzy:
    Debnath, Litan
    Powiązania:
    https://bibliotekanauki.pl/articles/1845145.pdf
    Data publikacji:
    2021
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    pseudo-static
    particle swarm optimisation
    bearing capacity coefficient
    slope inclination
    limit equilibrium
    Opis:
    In this paper, the limit equilibrium method with the pseudo-static approach is developed in the evaluation of the influence of slope on the bearing capacity of a shallow foundation. Particle swarm optimisation (PSO) technique is applied to optimise the solution. Minimum bearing capacity coefficients of shallow foundation near slopes are presented in the form of a design table for practical use in geotechnical engineering. It has been shown that the seismic bearing capacity coefficients reduce considerably with an increase in seismic coefficient. Besides, the magnitude of bearing capacity coefficients decreases further with an increase in slope inclination.
    Źródło:
    Studia Geotechnica et Mechanica; 2021, 43, 3; 285-306
    0137-6365
    2083-831X
    Pojawia się w:
    Studia Geotechnica et Mechanica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Estimation of Metal Foam Microstructure Parameters for Maximum Sound Absorption Coefficient in Specified Frequency Band Using Particle Swarm Optimisation
    Autorzy:
    Madvari, Rohollah Fallah
    Sharak, Mohsen Niknam
    Tehrani, Mahsa Jahandideh
    Abbasi, Milad
    Powiązania:
    https://bibliotekanauki.pl/articles/2141686.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    porosity
    pore size
    pore opening
    sound absorption coefficient (SAC)
    particle swarm optimisation (PSO)
    Opis:
    The study aims to estimate metal foam microstructure parameters for the maximum sound absorption coefficient (SAC) in the specified frequency band to obtain optimum metal foam fabrication. Lu’s theory model is utilised to calculate the SAC of metallic foams that refers to three morphological parameters: porosity, pore size, and pore opening. After Lu model validation, particle swarm optimisation (PSO) is used to optimise the parameters. The optimum values are obtained at frequencies 250 to 8000 Hz, porosity of 50 to 95%, a pore size of 0.1 to 4.5 mm, and pore opening of 0.07 to 0.98 mm. The results revealed that at frequencies above 1000 Hz, the absorption efficiency increases due to changes in the porosity, pore size, and pore opening values rather than the thickness. However, for frequencies below 2000 Hz, increasing the absorption efficiency is strongly correlated with an increase in foam thickness. The PSO is successfully used to find optimum absorption conditions, the reference for absorbent fabrication, on a frequency band 250 to 8000 Hz. The outcomes will provide an efficient tool and guideline for optimum estimation of acoustic absorbents.
    Źródło:
    Archives of Acoustics; 2022, 47, 1; 33-42
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Porównanie skuteczności wybranych dwu metod optymalizacji
    Comparison of effectiveness of two selected optimisation methods
    Autorzy:
    Grzyb, A.
    Kuczek, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/153768.pdf
    Data publikacji:
    2011
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    optymalizacja
    algorytmy genetyczne
    algorytm roju cząstek
    algorytm różnicowy
    optimisation
    genetic algorithms
    particle swarm optimisation
    differential evolution
    Opis:
    W artykule zaprezentowano dwa stosunkowo nowe algorytmy stosowane do optymalizacji bez ograniczeń funkcji jednej lub wielu zmiennych. Są to algorytmy: ewolucji różnicowej oraz roju cząstek. Przedstawiono w skrócie cechy charakterystyczne algorytmów, najważniejsze informacje dotyczące zasad ich działania. Ponadto opisano sposób ich badania, mający na celu ocenę skuteczności tych algorytmów. Zamieszczono wyniki badań dotyczące kilku wybranych funkcji testowych oraz sformułowano uwagi dotyczące porównania skuteczności badanych metod.
    The paper presents two relatively new algorithms used for optimisation without limitations of single- or multi-variable functions. They are algorithms of differential evolution and particle swarm optimisation. The paper describes characteristic features of the two algorithms and provides vital information about their functioning. Moreover, the paper presents methods used to estimate the algorithm effectiveness. The comparison of efficiency was conducted on the basis of several specially selected test functions. The functions can be found in [5]. The optimum point is known for these functions. For each of the functions, numerous optimisations using various sequences of pseudorandom numbers were conducted [1]. The examination results for a few test function are given and the effectiveness of the tested methods is discussed. The algorithm of the differential evolution method is more reliable than that of the particle swarm method because the latter is often ineffective with multi-variable functions.
    Źródło:
    Pomiary Automatyka Kontrola; 2011, R. 57, nr 11, 11; 1421-1424
    0032-4140
    Pojawia się w:
    Pomiary Automatyka Kontrola
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Green last-mile route planning for efficient e-commerce distribution
    Autorzy:
    Kunnapapdeelert, Siwaporn
    Johnson, James Vincent
    Phalitnonkiat, Passarin
    Powiązania:
    https://bibliotekanauki.pl/articles/2105317.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
    Tematy:
    last mile
    routing
    green
    particle swarm optimisation
    e-commerce
    ostatnia mila
    wytyczanie
    zielony
    optymalizacja cząsteczki
    Opis:
    This study aims to design vehicle routes based on cost minimisation and the minimisation of greenhouse gasses (GHG) emissions to help companies solve the vehicle routing problem with pickup and delivery (VRPPD) via particle swarm optimisation (PSO). An effective metaheuristics search technique called particle swarm optimisation (PSO) was applied to design the optimal route for these problems. Simulated data from Li and Lim (2001) were used to evaluate the PSO performance for solving green vehicle routing problems with pickup and delivery (Green VRPPD). The findings suggest that green vehicle routing problems with pickup and delivery should be used when distributing products to customers living in a specific area called a cluster. However, the design of vehicle routes by Green VRPPD costs more when used to distribute products to customers living randomly in a coverage service area. When logistics providers decide to use Green VRPPD instead of VRPPD, they need to be concerned about possible higher costs if an increase in the number of vehicles is needed. PSO has been confirmed for solving VRPPD effectively. The study compared the results based on the use of two different objective functions with fuel consumption from diesel and liquefied petroleum gas (LPG). It indicates that solving VRPPD by considering the emissions of direct greenhouse gases as an objective function provides cleaner routes, rather than considering total cost as the objective function for all test cases. However, as Green VRPPD requires more vehicles and longer travel distances, this requires a greater total cost than considering the total cost as the objective function. Considering the types of fuels used, it is obvious that LPG is more environmentally friendly than diesel by up to 53.61 %. This paper should be of interest to a broad readership, including those concerned with vehicle routing problems, transportation, logistics, and environmental management. The findings suggest that green vehicle routing problems with pickup and delivery should be used when distributing products to a cluster. However, the design of vehicle routes by Green VRPPD costs more when used to distribute products to customers living randomly in a coverage service area. When logistics providers decide to use Green VRPPD instead of VRPPD, they need to be concerned about possible higher costs if an increase in the number of vehicles is needed.
    Źródło:
    Engineering Management in Production and Services; 2022, 14, 1; 1--12
    2543-6597
    2543-912X
    Pojawia się w:
    Engineering Management in Production and Services
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Smart control of energy storage system in residential photovoltaic systems for economic and technical efficiency
    Autorzy:
    Kaczorowska, Dominika
    Rezmer, Jacek
    Janik, Przemysław
    Sikorski, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/2202548.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    economic efficiency
    energy storage system ESS
    microgrid management
    optimal power flow
    OPF
    particle swarm optimisation PSO
    Opis:
    In recent years, due to the increasing number of renewable energy sources, which are characterised by the stochastic nature of the generated power, interest in energy storage has increased. Commercial installations use simple deterministic methods with low economic efficiency. Hence, there is a need for intelligent algorithms that combine technical and economic aspects. Methods based on computational intelligence (CI) could be a solution. The paper presents an algorithm for optimising power flow in microgrids by using computational intelligence methods. This approach ensures technical and economic efficiency by combining multiple aspects in a single objective function with minimal numerical complexity. It is scalable to any industrial or residential microgrid system. The method uses load and generation forecasts at any time horizon and resolution and the actual specifications of the energy storage systems, ensuring that technological constraints are maintained. The paper presents selected calculation results for a typical residential microgrid supplied with a photovoltaic system. The results of the proposed algorithm are compared with the outcomes provided by a deterministic management system. The computational intelligence method allows the objective function to be adjusted to find the optimal balance of economic and technical effects. Initially, the authors tested the invented algorithm for technical effects, minimising the power exchanged with the distribution system. The application of the algorithm resulted in financial losses, €12.78 for the deterministic algorithm and €8.68 for the algorithm using computational intelligence. Thus, in the next step, a control favouring economic goals was checked using the CI algorithm. The case where charging the storage system from the grid was disabled resulted in a financial benefit of €10.02, whereas when the storage system was allowed to charge from the grid, €437.69. Despite the financial benefits, the application of the algorithm resulted in up to 1560 discharge cycles. Thus, a new unconventional case was considered in which technical and economic objectives were combined, leading to an optimum benefit of €255.17 with 560 discharge cycles per year. Further research of the algorithm will focus on the development of a fitness function coupled to the power system model.
    Źródło:
    Archives of Electrical Engineering; 2023, 72, 1; 81--102
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Coordinated control of phase shifting transformers in the power system
    Skoordynowane sterowanie przesuwnikami fazowymi w systemie elektroenergetycznym
    Autorzy:
    Korab, R.
    Owczarek, R.
    Połomski, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/397322.pdf
    Data publikacji:
    2017
    Wydawca:
    ENERGA
    Tematy:
    power system
    phase shifting transformer
    unscheduled flow
    particle swarm optimisation
    system elektroenergetyczny
    przesuwnik fazowy
    przepływ nieplanowy
    optymalizacja rojem cząstek
    Opis:
    In response to the growing problem of unscheduled flows, more and more transmission system operators in Europe provide their systems with phase shifting transformers (PST). However, the operations of several PSTs deployed close to each other must be coordinated for them to be effective and to avoid their harmful interactions. Coordination of a group of such devices leads to a problem of multidimensional optimisation. This paper presents a method of optimal PST setting based on the particle swarm optimisation (PSO) algorithm. As an optimisation criterion the minimization of unscheduled flow through the given system has been applied. The impact of the number of particles in the swarm and their maximum permissible velocity on the optimisation algorithm’s efficiency was analysed. Results are presented for a 118-node test grid.
    W odpowiedzi na rosnący problem przepływów nieplanowych coraz większa liczba operatorów systemów przesyłowych w Europie wyposaża swoje systemy w przesuwniki fazowe (PST). Jednakże użycie kilku PST zainstalowanych geograficznie lub elektrycznie blisko siebie musi być skoordynowane w celu skutecznego wykorzystania tych urządzeń i uniknięcia ich niekorzystnych interakcji. Koordynacja grupy takich urządzeń prowadzi do problemu optymalizacji wielowymiarowej. W artykule przedstawiono metodę optymalizacji nastaw PST opartą na algorytmie roju cząstek (PSO). Jako kryterium optymalizacji zastosowano minimalizację przepływu nieplanowego przez dany system. Przeanalizowano wpływ liczby cząstek roju oraz ich maksymalnej dozwolonej prędkości na efektywność algorytmu optymalizacji. Przedstawiono wyniki dla sieci testowej zawierającej 118 węzłów.
    Źródło:
    Acta Energetica; 2017, 3; 97-103
    2300-3022
    Pojawia się w:
    Acta Energetica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Sposób wyboru optymalnej trajektorii lotu manewru antykolizyjnego realizowanego w otoczeniu ruchomych przeszkód
    A method of optimal flight trajectory synthesis for an anti-collision manoeuvre performed within a neighbourhood with moving obstacles
    Autorzy:
    Graffstein, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/275890.pdf
    Data publikacji:
    2018
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    unikanie kolizji
    trajektoria manewru antykolizyjnego
    komputerowa symulacja dynamiki lotu
    optymalizacja roju cząstek
    PSO
    collision avoidance
    flight trajectory
    evasive manoeuvre
    numerical simulation
    particle swarm optimisation
    Opis:
    Do rozwiązania problemu unikania przeszkód przez poruszający się samolot w przestrzeni powietrznej niezbędne jest wykrycie zagrożenia kolizji oraz wykonanie bezpiecznego manewru w celu ominięcia zagrażających przeszkód. W pracy przedstawiono sposób wykrywania niebezpieczeństwa zderzenia z przeszkodą dla przypadku, gdy w otoczeniu samolotu znajduje się wiele ruchomych obiektów. Zaproponowano sposób wyboru optymalnej trajektorii manewru antykolizyjnego, i potwierdzono jej wykonalność. Wybór trajektorii przeprowadzono rozwiązując zagadnienie optymalizacji metodą roju cząstek (PSO). W tym celu zaproponowano postać funkcji celu i przedstawiono wyniki analizy jej przebiegu dla różnych współczynników wagowych. Wykonane symulacje lotu wzdłuż optymalnej trajektorii manewru antykolizyjnego potwierdziły wykonalność takiego manewru.
    For solving the airplane to obstacle collision avoidance problem two methods are necessary: one, for detecting a collision threat, and the other one, for synthesizing a safe manoeuvre avoiding threating obstacles. In the article a method for detecting a threat of collision to obstacle was presented for the case of many obstacles moving within the neighbourhood of the airplane. Methods for optimal anti collision trajectory synthesis and for proving the workability of such a result were proposed too. A solution of an optimisation problem, obtained by the Swarm of Particles Optimization was used for trajectory synthesis. A form of quality index was proposed for this task and the analyses of its behaviour for several values of weighting factors were presented. Results of simulations of flight along an optimal, anti collision manoeuvre trajectory proved that such a manoeuvre is workable.
    Źródło:
    Pomiary Automatyka Robotyka; 2018, 22, 4; 5-11
    1427-9126
    Pojawia się w:
    Pomiary Automatyka Robotyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Finite element model updating of steel-concrete composite bridge: A study case of the Ruri bridge in Vietnam
    Autorzy:
    Nguyen, Duc Cong
    Salamak, Marek
    Katunin, Andrzej
    Gerges, Michael
    Abdel-Maguid, Mohamed
    Powiązania:
    https://bibliotekanauki.pl/articles/27312150.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    analiza drgań
    akcelerometr
    model elementów skończonych
    uaktualnienie
    most betonowy
    optymalizacja roju cząstek
    algorytm genetyczny
    vibration analysis
    accelerometer
    finite element model
    update
    concrete bridge
    particle swarm optimisation
    genetic algorithm
    Opis:
    The study presents the finite element (FE) model update of the existing simple-spans steel-concrete composite bridge structure using a particle swarm optimisation (PSO) and genetic algorithm (GA) approaches. The Wireless Structural Testing System (STS-WiFi) of Bridge Diagnostic, Inc. from the USA, implemented various types of sensors including: LVDT displacement sensors, intelligent strain transducers, and accelerometers that the static and dynamic historical behaviors of the bridge structure have been recorded in the field testing. One part of all field data sets has been used to calibrate the cross-sectional stiffness properties of steel girders and material of steel beams and concrete deck in the structural members including 16 master and slave variables, and that the PSO and GA optimisation methods in the MATLAB software have been developed with the new innovative tools to interface with the analytical results of the FE model in the ANSYS APDL software automatically. The vibration analysis from the dynamic responses of the structure have been conducted to extract four natural frequencies from experimental data that have been compared with the numerical natural frequencies in the FE model of the bridge through the minimum objective function of percent error to be less than 10%. In order to identify the experimental mode shapes of the structure more accurately and reliably, the discrete-time state-space model using the subspace method (N4SID) and fast Fourier transform (FFT) in MATLAB software have been applied to determine the experimental natural frequencies in which were compared with the computed natural frequencies. The main goal of the innovative approach is to determine the representative FE model of the actual bridge in which it is applied to various truck load configurations according to bridge design codes and standards. The improved methods in this document have been successfully applied to the Vietnamese steel-concrete composite bridge in which the load rating factors (RF) of the AASHTO design standards have been calculated to predict load limits, so the final updated FE model of the existing bridge is well rated with all RF values greater than 1.0. The presented approaches show great performance and the potential to implement them in industrial conditions.
    Źródło:
    Archives of Civil Engineering; 2023, 69, 3; 425--443
    1230-2945
    Pojawia się w:
    Archives of Civil Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Direct least squares and derivative-free optimisation techniques for determining mine-induced horizontal ground displacement
    Autorzy:
    Rusek, Janusz
    Tajduś, Krzysztof
    Powiązania:
    https://bibliotekanauki.pl/articles/2090675.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    horizontal ground displacement
    mining
    direct least squares
    derivative-free optimisation
    genetic algorithms
    differential evolution
    particle swarm optimization
    przemieszczenie poziome gruntu
    górnictwo
    optymalizacja bez pochodnych
    optymalizacja roju cząstek
    algorytmy genetyczne
    ewolucja różnicowa
    bezpośrednie najmniejsze kwadraty
    Opis:
    The paper presents the results of analyses concerning a new approach to approximating trajectory of mining-induced horizontal displacements. Analyses aimed at finding the most effective method of fitting data to the trajectory of mining-induced horizontal displacements. Two variants were made. In the first, the direct least square fitting (DLSF) method was applied based on the minimization of the objective function defined in the form of an algebraic distance. In the second, the effectiveness of differential-free optimization methods (DFO) was verified. As part of this study, the following methods were tested: genetic algorithms (GA), differential evolution (DE) and particle swarm optimization (PSO). The data for the analysis were measurements of on the ground surface caused by the mining progressive work at face no. 698 of the German Prospel-Haniel mine. The results obtained were compared in terms of the fitting quality, the stability of the results and the time needed to carry out the calculations. Finally, it was found that the direct least square fitting (DLSF) approach is the most effective for the analyzed registration data base. In the authors’ opinion, this is dictated by the angular range in which the measurements within a given measuring point oscillated.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 1; e135840, 1--12
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Direct least squares and derivative-free optimisation techniques for determining mine-induced horizontal ground displacement
    Autorzy:
    Rusek, Janusz
    Tajduś, Krzysztof
    Powiązania:
    https://bibliotekanauki.pl/articles/2173560.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    horizontal ground displacement
    mining
    direct least squares
    derivative-free optimisation
    genetic algorithms
    differential evolution
    particle swarm optimization
    przemieszczenie poziome gruntu
    górnictwo
    optymalizacja bez pochodnych
    optymalizacja roju cząstek
    algorytmy genetyczne
    ewolucja różnicowa
    bezpośrednie najmniejsze kwadraty
    Opis:
    The paper presents the results of analyses concerning a new approach to approximating trajectory of mining-induced horizontal displacements. Analyses aimed at finding the most effective method of fitting data to the trajectory of mining-induced horizontal displacements. Two variants were made. In the first, the direct least square fitting (DLSF) method was applied based on the minimization of the objective function defined in the form of an algebraic distance. In the second, the effectiveness of differential-free optimization methods (DFO) was verified. As part of this study, the following methods were tested: genetic algorithms (GA), differential evolution (DE) and particle swarm optimization (PSO). The data for the analysis were measurements of on the ground surface caused by the mining progressive work at face no. 698 of the German Prospel-Haniel mine. The results obtained were compared in terms of the fitting quality, the stability of the results and the time needed to carry out the calculations. Finally, it was found that the direct least square fitting (DLSF) approach is the most effective for the analyzed registration data base. In the authors’ opinion, this is dictated by the angular range in which the measurements within a given measuring point oscillated.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 1; art. no. e135840
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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