Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "distribution algorithm" wg kryterium: Temat

  Lista filtrów
Wyrównaj
Wyświetlanie 1-25 z 27
Tytuł:
Software Systems Clustering Using Estimation of Distribution Approach
Autorzy:
Tajgardan, M.
Izadkhah, H.
Lotfi, S.
Powiązania:
https://bibliotekanauki.pl/articles/108635.pdf
Data publikacji:
2016
Wydawca:
Społeczna Akademia Nauk w Łodzi
Tematy:
Software System
Clustering, Genetic Algorithm
Estimation of Distribution Algorithm (EDA)
Probability Model
Opis:
Software clustering is usually used for program understanding. Since the software clustering is a NP-complete problem, a number of Genetic Algorithms (GAs) are proposed for solving this problem. In literature, there are two wellknown GAs for software clustering, namely, Bunch and DAGC, that use the genetic operators such as crossover and mutation to better search the solution space and generating better solutions during genetic algorithm evolutionary process. The major drawbacks of these operators are (1) the difficulty of defining operators, (2) the difficulty of determining the probability rate of these operators, and (3) do not guarantee to maintain building blocks. Estimation of Distribution (EDA) based approaches, by removing crossover and mutation operators and maintaining building blocks, can be used to solve the problems of genetic algorithms. This approach creates the probabilistic models from individuals to generate new population during evolutionary process, aiming to achieve more success in solving the problems. The aim of this paper is to recast EDA for software clustering problems, which can overcome the existing genetic operators’ limitations. For achieving this aim, we propose a new distribution probability function and a new EDA based algorithm for software clustering. To the best knowledge of the authors, EDA has not been investigated to solve the software clustering problem. The proposed EDA has been compared with two well-known genetic algorithms on twelve benchmarks. Experimental results show that the proposed approach provides more accurate results, improves the speed of convergence and provides better stability when compared against existing genetic algorithms such as Bunch and DAGC.
Źródło:
Journal of Applied Computer Science Methods; 2016, 8 No. 2; 99-113
1689-9636
Pojawia się w:
Journal of Applied Computer Science Methods
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Finite element modelling and static shape control of a functionally graded piezoelectric beam
Autorzy:
Eshraghi, I.
Powiązania:
https://bibliotekanauki.pl/articles/38697103.pdf
Data publikacji:
2023
Wydawca:
Instytut Podstawowych Problemów Techniki PAN
Tematy:
functionally graded piezoelectric beam
finite element method
shape control
Buildup Voltage Distribution algorithm
Opis:
A finite element model is developed for discretization and analysis of the functionally graded piezoelectric material (FGPM) beam based on the Timoshenko beam theory and assuming linear constitutive relation for the corresponding piezoelectric material behavior. Results obtained using the developed finite element code are compared with the available experimental and numerical results for smart structures with and without graded properties. Static shape control of the beam is conducted using the Buildup Voltage Distribution (BVD) algorithm by implementing this method in the finite element routine. Numerical simulations have been performed to study the performance of the shape control algorithm by optimizing the distribution of the applied voltages. Furthermore, the effect of the number of iterations on the result accuracy as well as the variation of the control voltage distribution with the number of discretized regions and the volume fractions of the constituent material is studied. A fast numerical convergence with good accuracy is observed for the shape control of FGPM beams using the developed method. The proposed technique is a good candidate for the modeling, analysis, and control of smart structures with graded properties.
Źródło:
Archives of Mechanics; 2023, 75, 4; 469-492
0373-2029
Pojawia się w:
Archives of Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A simulator supporting the distribution of the primary subsidy in a faculty at Wroclaw University of Technology
Autorzy:
Rekuć, W.
Szczurowski, L.
Powiązania:
https://bibliotekanauki.pl/articles/406255.pdf
Data publikacji:
2015
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
algorithm for subsidy distribution
simulator
Opis:
Chosen aspects of a simulator supporting the distribution of the primary teaching subsidy in a faculty of Wroclaw University of Technology have been presented. The mathematical equations forming the basis for the algorithm have been analyzed. The general premises of adapting the set of teaching duties within a faculty to this model have been formulated. Various scenarios illustrating how the distribution of this subsidy works in practice have been shown. Introductory results of such simulations (using MS EXCEL) for a chosen scenario have been presented and discussed.
Źródło:
Operations Research and Decisions; 2015, 25, 4; 35-49
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A factor graph based genetic algorithm
Autorzy:
Helmi, B. H.
Rahmani, A. T.
Pelikan, M.
Powiązania:
https://bibliotekanauki.pl/articles/330811.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
optimization problem
genetic algorithm
estimation
distribution algorithm
factor graph
matrix factorization
problem optymalizacji
algorytm genetyczny
algorytm estymacji rozkładu
faktoryzacja macierzy
Opis:
We propose a new linkage learning genetic algorithm called the Factor Graph based Genetic Algorithm (FGGA). In the FGGA, a factor graph is used to encode the underlying dependencies between variables of the problem. In order to learn the factor graph from a population of potential solutions, a symmetric non-negative matrix factorization is employed to factorize the matrix of pair-wise dependencies. To show the performance of the FGGA, encouraging experimental results on different separable problems are provided as support for the mathematical analysis of the approach. The experiments show that FGGA is capable of learning linkages and solving the optimization problems in polynomial time with a polynomial number of evaluations.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2014, 24, 3; 621-633
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assumptions concerning a software supporting the primary intramural teaching subsidy distribution at the Wroclaw University of Science and Technology faculty
Autorzy:
Szczurowski, L.
Rekuć, Witold
Powiązania:
https://bibliotekanauki.pl/articles/406385.pdf
Data publikacji:
2019
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
university budget
decision
financing of teaching
subsidy distribution algorithm
software architecture
budżet uniwersytet
decyzja
finansowanie nauczania
algorytm dystrybucji subwencji
architektura oprogramowania
Opis:
Assumptions concerning a software supporting the primary intramural teaching subsidy distribution at a Wroclaw University of Science and Technology faculty compatible with a distribution algorithm are described. Strategic goal, main problems, roles and operational tasks of this support are identified. Selected business processes and system use cases are analyzed. Concepts as well as introductory system architecture accommodating the necessity of the subsidy distribution algorithm updating are elaborated. Proposals important from the point of view of the dean’s financial assistant preparing analytical data concerning subsidy distribution for the faculty provisional as well as final budged version are formulated.
Źródło:
Operations Research and Decisions; 2019, 29, 2; 89-101
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Single-objective optimal power flow for electric power systems based on crow search algorithm
Autorzy:
Fathy, A.
Abdelaziz, A.
Powiązania:
https://bibliotekanauki.pl/articles/140618.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
crow search algorithm
distribution network
optimal power flow
Opis:
This paper presents the application of a recent meta-heuristic optimization technique named a crow search algorithm (CSA) in solving the problem of an optimal power flow (OPF) for electric power systems. Various constrained objective functions, total fuel cost, active power loss and pollutant emission are proposed. The generators’ output powers, generators’ terminal voltages, transmission lines’ taps and the shunt capacitors’ reactive powers are considered as variables to be designed. The proposed methodology based on the CSA is applied on an IEEE 30-bus system and IEEE 118-bus system. The obtained results via the CSA are compared to others and they ensure the superiority of the CSA in solving the OPF problem in electric power systems.
Źródło:
Archives of Electrical Engineering; 2018, 67, 1; 123-138
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Large and moderate deviation principles for nonparametric recursive kernel distribution estimators defined by stochastic approximation method
Autorzy:
Slaoui, Yousri
Powiązania:
https://bibliotekanauki.pl/articles/254712.pdf
Data publikacji:
2019
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
distribution estimation
stochastic approximation algorithm large and moderate deviations principles
Opis:
In this paper we prove large and moderate deviations principles for the recursive kernel estimators of a distribution function defined by the stochastic approximation algorithm. We show that the estimator constructed using the stepsize which minimize the Mean Integrated Squared Error (MISE) of the class of the recursive estimators defined by Mokkadem et al. gives the same pointwise large deviations principle (LDP) and moderate deviations principle (MDP) as the Nadaraya kernel distribution estimator.
Źródło:
Opuscula Mathematica; 2019, 39, 5; 733-746
1232-9274
2300-6919
Pojawia się w:
Opuscula Mathematica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Loss modeling with mixtures distributions in R package
Autorzy:
Sitek, Grzegorz
Powiązania:
https://bibliotekanauki.pl/articles/434037.pdf
Data publikacji:
2017
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
finite mixture of distributions
loss distribution
maximum likelihood estimate
EM algorithm
Opis:
Finite mixtures of probability distributions may be successfully used in the modeling of probability distributions of losses. These distributions are typically heavy tailed and positively skewed. Finding the distribution that fits loss data well is often difficult. The paper shows that the use of mixed models can significantly improve the goodness-of-fit of the loss data. The paper also presents an algorithm to find estimates of parameters of mixture distribution and gives an illustrative example. The analytical approach is probably the most often used in practice and certainly the most frequently adopted in the actuarial literature. It is reduced to finding a suitable analytical expression which fits the observed data well. For parameters estimation we use the maximum likelihood method applying the Newton-Raphson and EM algorithm. Computations of goodness-of-fit can be judged using the Akaike information criterion.
Źródło:
Śląski Przegląd Statystyczny; 2017, 15 (21); 183-200
1644-6739
Pojawia się w:
Śląski Przegląd Statystyczny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modeling income on the basis of distribution mixture
Autorzy:
Sitek, Grzegorz
Powiązania:
https://bibliotekanauki.pl/articles/584955.pdf
Data publikacji:
2014
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
finite mixture
income distribution
maximum likelihood estimate
EM algorithm
number of components
Opis:
Finite mixtures of probability distributions may be successfully used in the modeling of probability distributions of incomes. These distributions are typically heavy tailed and positively skewed. This article deals with the problem of determining the number of components in mixture modeling. This paper considers the likelihood of ratio-based testing of the null hypothesis of homogeneity in mixture models. The number of components is an important parameter in the applications of finite mixture models.
Źródło:
Mathematical Economics; 2014, 10(17); 79-90
1733-9707
Pojawia się w:
Mathematical Economics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Genetic algorithms and neural networks for solving water quality model of the Egyptian research reactor
Autorzy:
El-Sayed Wahed, M.
Ibrahim, W. Z.
Effat, A. M.
Powiązania:
https://bibliotekanauki.pl/articles/148150.pdf
Data publikacji:
2009
Wydawca:
Instytut Chemii i Techniki Jądrowej
Tematy:
genetic algorithm
neural networks
model calibration
water distribution system
water quality model
Opis:
The second Egyptian research reactor ETRR-2 became critical on 27th November, 1997. The National Center of Nuclear Safety and Radiation Control (NCNSRC) has the responsibility for the evaluation and assessment of safety of this reactor. Modern managements of water distribution system (WDS) need water quality models that are able to accurately predict the dynamics of water quality variations within the distribution system environment. Before water quality models can be applied to solve system problems, they should be calibrated. The purpose of this paper is to present an approach which combines both macro and detailed models to optimize the water quality parameters. For an efficient search through the solution space, we use a multi-objective genetic algorithm which allows us to identify a set of Pareto optimal solutions providing the decision maker with a complete spectrum of optimal solutions with respect to the various targets. This new combinative algorithm uses the radial basis function (RBF) metamodeling as a surrogate to be optimized for the purpose of decreasing the times of time-consuming water quality simulation and can realize rapidly the calibration of pipe wall reaction coefficients of chlorine model of large-scaled WDS.
Źródło:
Nukleonika; 2009, 54, 4; 239-245
0029-5922
1508-5791
Pojawia się w:
Nukleonika
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wybór optymalnej strategii eksploatacji stacji transformatorowych w sieciach rozdzielczych SN
Choosing optimal strategy for exploitation of transformer station in medium voltage distribution networks
Autorzy:
Gancarz, A.
Bąchorek, W.
Powiązania:
https://bibliotekanauki.pl/articles/267972.pdf
Data publikacji:
2008
Wydawca:
Politechnika Gdańska. Wydział Elektrotechniki i Automatyki
Tematy:
elektroenergetyczne sieci rozdzielcze
optymalizacja
algorytmy ewolucyjne
power distribution networks
optimization
evolutionary algorithm
Opis:
W referacie zaproponowano rozwiązanie problemu optymalnej gospodarki majątkiem sieciowym na przykładzie wymiany transformatorów dla wybranego fragmentu sieci rozdzielczej jednej ze Spółek Dystrybucyjnych. Przedstawia się algorytm obliczeniowy, jego implementację komputerową oraz przykład obliczeniowy.
The article concerns the problem of optimal management the property of Electrical Power Distribution Companies. The analysed task concerns the problem of exchange of MV/LV transformers for selected power distribution networks. Computational algorithm, computer implementation as well as computational example was introduced.
Źródło:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej; 2008, 25; 41-44
1425-5766
2353-1290
Pojawia się w:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Inverse problem of selection of the theoretical cycle for the real cycle of internal combustion engine
Autorzy:
Żmudka, Zbigniew
Postrzednik, Stefan
Przybyła, Grzegorz
Powiązania:
https://bibliotekanauki.pl/articles/241593.pdf
Data publikacji:
2019
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
internal combustion engine
real cycle
theoretic cycle
heat distribution number
reconciliation algorithm
Opis:
The effectiveness of work of an internal combustion engine can be assessed by means of the energy efficiency: theoretical, internal and effective... In the problem regarding the efficiency of obtaining a work from the tested SI engine, the theoretical Seiliger-Sabathe cycle was adopted as a reference model for the real engine cycle. For comparison, the OTTO cycle was also analysed. The engine indicating allows direct determination only of internal work. However, determining the work of the theoretical cycle first requires solving the problem of selecting the parameters of the theoretical cycle, according to the real cycle of the engine (inverse problem). In order uniquely to determine the course of the theoretical Seiliger-Sabathe cycle, it is necessary to determine the parameters of the starting point and the heat distribution number. The selection of the theoretical cycle for the real cycle, within the scope of determining the number of heat distribution, is to some extent of a contractual nature. Therefore, the problem of determining the number of heat distribution was solved by two own original methods. A comparison of the real cycle with the theoretical cycle determined for it is presented.
Źródło:
Journal of KONES; 2019, 26, 2; 197-204
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Alternative FEM algorithm of determining piston ring pressure distribution on a cylinder to a contact simulation
Autorzy:
Kaliszewski, M.
Mazuro, P.
Powiązania:
https://bibliotekanauki.pl/articles/793393.pdf
Data publikacji:
2016
Wydawca:
Komisja Motoryzacji i Energetyki Rolnictwa
Tematy:
finite element modelling
algorithm
piston ring
pressure distribution
contact simulation
ANSYS programme
Źródło:
Teka Komisji Motoryzacji i Energetyki Rolnictwa; 2016, 16, 4
1641-7739
Pojawia się w:
Teka Komisji Motoryzacji i Energetyki Rolnictwa
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A study of propeller for high altitude unmanned airplane
Autorzy:
Zalewski, W.
Powiązania:
https://bibliotekanauki.pl/articles/241661.pdf
Data publikacji:
2015
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
unmanned high altitude aerial vehicles propeller-driven aircraft
genetic algorithm
lift coefficient distribution
Opis:
Over the last 20 years, we can observe growing interest in the field of unmanned high altitude aerial vehicles. Especially the light aircrafts with electric motors become popular. The use of electricity to drive enables application of non-conventional energy sources like solar energy. The propeller remains the best propulsion system for planes powered by electricity. High altitude planes powered by propellers are able to fly over the wide range of altitude: from 0 to 25 kilometres. Such wide range of altitude is connected with variability of propeller work conditions (for example the density of the air is changing 10 times) which remarkably complicate the process of matching propeller to motor. The paper presents optimization model of propeller destined to unmanned high altitude airplane. Computational procedure deals with searching optimal distribution of lift coefficient line along the blade span of the propeller to obtain maximal efficiency for selected altitudes of flight. Genetic algorithm was used during the searching procedure. The database of optimal solutions is created as a result of computation and can be later exploited for choosing the best solution able to meet the requirements. Because the same propeller is used for take-off, climb and high altitude flight, then the airfoils of the propeller blades must be capable of operating over an extremely different flow condition caused by large change in air density. Propeller blades airfoils are required to operate within a low Reynolds number (below 105) and high subsonic Mach number (up to 0.6) flow field during high altitude flight. At low Reynolds number, the airfoils generate lesser lift and higher drags. The performance of the airfoils and consequently of the whole propeller can decline significantly. The objective is to find airfoils with good performance in all condition, which can appear during the flight, and to find the best shape of lift coefficient curve along the blade span of the propeller. That is necessary in order to obtain acceptable efficiency of the propeller for all flight conditions.
Źródło:
Journal of KONES; 2015, 22, 4; 329-334
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analiza wpływu parametrów algorytmu ewolucyjnego na jakość rozwiązań regulacji napięcia w rozległej sieci rozdzielczej
The influence of evolutionary algorithm parameters on the solutions for the voltage control in the wide area distribution network
Autorzy:
Gruszka, K.
Powiązania:
https://bibliotekanauki.pl/articles/268059.pdf
Data publikacji:
2008
Wydawca:
Politechnika Gdańska. Wydział Elektrotechniki i Automatyki
Tematy:
elektroenergetyczne sieci rozdzielcze
regulacja napięcia
algorytm ewolucyjny
power distribution networks
voltage control
evolutionary algorithm
Opis:
W artykule przedstawiono algorytm ewolucyjny j jako metodę rozwiązania zadania optymalnej regulacji napięcia w rozległej sieci rozdzielczej. Dokonano szczegółowej analizy wpływu najważniejszych parametrów algorytmu na jakość uzyskiwanych rozwiązań. Przedstawione wyniki mogą być wykorzystane do optymalizacji regulacji napięcia w sieciach trudnych do wyregulowania.
The paper presents an evolutionary algorithm using to optimization of voltage control in large distribution network. The influences of algorithm basic parameters on the results were submitted to detailed discussion. The optimal values can be used for optimization difficult-to-control electrical networks.
Źródło:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej; 2008, 25; 57-60
1425-5766
2353-1290
Pojawia się w:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie komputerów do wieloetapowej optymalizacji pracystacji transformatorowych średniego napięcia
Application of computers in multistage optimization of middle voltage transformer station utilization
Autorzy:
Gancarz, A.
Bąchorek, W.
Powiązania:
https://bibliotekanauki.pl/articles/268344.pdf
Data publikacji:
2009
Wydawca:
Politechnika Gdańska. Wydział Elektrotechniki i Automatyki
Tematy:
elektroenergetyczne sieci rozdzielcze
optymalizacja wieloetapowa
algorytmy ewolucyjne
power distribution networks
multistage optimization
evolutionary algorithm
Opis:
Projektowanie struktur elektroenergetycznych sieci rozdzielczych wiąże się z przyjęciem ustalonego okresu optymalizacji oraz prognozy zmian obciążeń w tym okresie. Właściwe jest w takim przypadku rozłożenie wszelkich przewidywanych działań na różne momenty optymalizowanego okresu. W artykule przedstawia się metodę optymalizacji wieloetapowej zadania doboru transformatorów w sieci rozdzielczej średniego napięcia. Przestawiono algorytm obliczeniowy, jego implementację komputerową oraz przykład obliczeniowy dla fragmentu sieci rozdzielczej.
The analysed task concerns the problem of exchange of MV/LV transformers for selected power distribution networks. The article concerns the problem of multistage optimization. Computational algorithm, computer implementation as well as computational example was introduced.
Źródło:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej; 2009, 26; 41-44
1425-5766
2353-1290
Pojawia się w:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Calculating surface current distribution in antenna array in the presence of mutual coupling by analytical solving of Pocklington’s integral equation
Autorzy:
Parhizgar, N.
Powiązania:
https://bibliotekanauki.pl/articles/141622.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
antenna array
current distribution
DOA estimation
MUSIC algorithm
mutual coupling effect
Pocklington’s integral equation
Opis:
In this article, the current distribution of an antenna array in the presence of mutual coupling is calculated analytically by solving Pocklington’s integral equation. Blockpulse and Galerkin’s functions are used for numerical solving of Pocklington’s integral equation. In this work, the surface current distribution can be achieved for an antenna array in receiving mode, with any arbitrary structure and various numbers of elements. In all previous works, the authors have been tried to solve Pocklington’s integral equation for a single half dipole antenna in transmitting mode. Pocklington’s equation is somehow difficult to work with because of the singularity and existence of a sharp peak for a small value of wire’s radius. In order to calculate surface current distribution, for thin wires, singularity part is extracted from the kernel in aforementioned integral. Hence, the kernel is decomposed into singular and nonsingular parts. An inter-element mutual coupling effect between array elements and self-coupling for each element are assumed in this case. The validity of the proposed methodology is tested by numerical simulation results. The accuracy of the proposed method is evaluated by the multiple signal classification (MUSIC) algorithm for different scenarios to direction of arrival (DOA) estimation.
Źródło:
Archives of Electrical Engineering; 2018, 67, 1; 65-79
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Minimum dispersion coefficient criteria based positioning algorithm for BDS
Autorzy:
Wang, L.
Li, L.
Powiązania:
https://bibliotekanauki.pl/articles/141700.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
alpha-stable distribution
BeiDou satellites
Kalman filter
minimum dispersion coefficient criteria
non-Gaussian noise
positioning algorithm
Opis:
The BeiDou navigation satellite system (BDS) is one of the four global navigation satellite systems. More attention has been paid to the positioning algorithm of the BDS. Based on the study on the Kalman filter (KF) algorithm, this paper proposed a novel algorithm for the BDS, named as the minimum dispersion coefficient criteria Kalman filter (MDCCKF) positioning algorithm. The MDCCKF algorithm adopts minimum dispersion coefficient criteria (MDCC) to remove the influence of noise with an alpha-stable distribution (ASD) model which can describe non-Gaussian noise effectively, especially for the pulse noise in positioning. By minimizing the dispersion coefficient of the positioning error, the MDCCKF assures positioning accuracy under both Gaussian and non-Gaussian environment. Compared with the original KF algorithm, it is shown that the MDCCKF algorithm has higher positioning accuracy and robustness. The MDCCKF algorithm provides insightful results for potential future research.
Źródło:
Archives of Electrical Engineering; 2018, 67, 4; 739-753
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Numeryczne otrzymywanie rozkładu Fermiego-Diraca z definicji zespołu kanonicznego
Obtaining the numeric Fermi-Dirac decomposition from the definition of the canonical ensamble
Autorzy:
Jastrzębski, G.
Powiązania:
https://bibliotekanauki.pl/articles/137150.pdf
Data publikacji:
2014
Wydawca:
Uczelnia Jana Wyżykowskiego
Tematy:
rozkład Fermiego-Diraca
metoda Monte Carlo
metoda Metropolisa
Fermi-Dirac distribution
Monte Carlo method
Metropolis algorithm
Opis:
Praca przedstawia kilka prób wyliczenia rozkładu Fermiego-Diraca na podstawie definicji zespołu kanonicznego. Rozpatruje prosty model kwantowy, do którego rozwiązania zastosowano metody kombinatoryczne, metodę Monte-Carlo i jej modyfikację, zwaną metodą Metropolisa. Poglądowe wyniki mają dużą wartość dydaktyczną.
This paper presents several attempts to calculate the Fermi-Dirac distribution based on the canonical ensemble definition. The calculation is based on a simple quantum model, for which combinatorial algorithms, the Monte-Carlo method and its modification called the Metropolis algorithm were used. The illustrative results are of great value in teaching.
Źródło:
Zeszyty Naukowe Dolnośląskiej Wyższej Szkoły Przedsiębiorczości i Techniki. Studia z Nauk Technicznych; 2014, 3; 99-109
2299-3355
Pojawia się w:
Zeszyty Naukowe Dolnośląskiej Wyższej Szkoły Przedsiębiorczości i Techniki. Studia z Nauk Technicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimizing control by robustly feasible model predictive control and application to drinkingwater distribution systems
Autorzy:
Tran, V. N.
Brdys, M. A.
Powiązania:
https://bibliotekanauki.pl/articles/91723.pdf
Data publikacji:
2011
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
optimizing
model predictive control
MPC
Robustly Feasible MPC
RFMPC
Drinking
Water Distribution Systems
DWDS
genetic algorithm
Opis:
The paper considers optimizing Model Predictive Control (MPC) for nonlinear plants with output constraints under uncertainties. Although the MPC technology can handle the constraints in the model by solving constraint model based optimization task, satisfying the plant output constraints under the model uncertainty still remains a challenge. The paper proposes Robustly Feasible MPC (RFMPC), which achieves feasibility of the outputs in the controlled plant. The RFMPC which is applied to control quantity in Drinking Water Distribution Systems (DWDS) is illustrated by application to the DWDS example. In the simulation exercise, Genetic Algorithm is selected as the optimization solver and the reduced search space methodology is applied in the implementation under MATLABEPANET environment.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2011, 1, 1; 43-57
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new method of decision making in multi-objective optimal placement and sizing of distributed generators in the smart grid
Autorzy:
Khoshayand, Hossein Ali
Wattanapongsakorn, Naruemon
Mahdavian, Mehdi
Ganji, Ehsan
Powiązania:
https://bibliotekanauki.pl/articles/2202555.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
backward-forward load distribution
fuzzy logic
iterative search algorithm
multi-objective optimization
shortest distance from the origin
weighted sum
Opis:
One of the most important aims of the sizing and allocation of distributed generators (DGs) in power systems is to achieve the highest feasible efficiency and performance by using the least number of DGs. Considering the use of two DGs in comparison to a single DG significantly increases the degree of freedom in designing the power system. In this paper, the optimal placement and sizing of two DGs in the standard IEEE 33-bus network have been investigated with three objective functions which are the reduction of network losses, the improvement of voltage profiles, and cost reduction. In this way, by using the backward-forward load distribution, the load distribution is performed on the 33-bus network with the power summation method to obtain the total system losses and the average bus voltage. Then, using the iterative search algorithm and considering problem constraints, placement and sizing are done for two DGs to obtain all the possible answers and next, among these answers three answers are extracted as the best answers through three methods of fuzzy logic, the weighted sum, and the shortest distance from the origin. Also, using the multi-objective non-dominated sorting genetic algorithm II (NSGA-II) and setting the algorithm parameters, thirty-six Pareto fronts are obtained and from each Pareto front, with the help of three methods of fuzzy logic, weighted sum, and the shortest distance from the origin, three answers are extracted as the best answers. Finally, the answer which shows the least difference among the responses of the iterative search algorithm is selected as the best answer. The simulation results verify the performance and efficiency of the proposed method.
Źródło:
Archives of Electrical Engineering; 2023, 72, 1; 253--271
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Performance evaluation of an M/G/n-type queue with bounded capacity and packet dropping
Autorzy:
Tikhonenko, O.
Kempa, W. M.
Powiązania:
https://bibliotekanauki.pl/articles/331288.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
AQM algorithm
finite buffer
loss probability
total packet volume
queue size distribution
aktywne zarządzanie kolejką
prawdopodobieństwo straty
rozkład wielkości kolejki
Opis:
A queueing system of the M/G/n-type, n ≥ 1, with a bounded total volume is considered. It is assumed that the volumes of the arriving packets are generally distributed random variables. Moreover, the AQM-type mechanism is used to control the actual buffer state: each of the arriving packets is dropped with a probability depending on its volume and the occupied volume of the system at the pre-arrival epoch. The explicit formulae for the stationary queue-size distribution and the loss probability are found. Numerical examples illustrating theoretical formulae are given as well.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2016, 26, 4; 841-854
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Graphite particle size distribution in nodular cast iron
Rozkład rozmiarów cząstek grafitu w żeliwie sferoidalnym
Autorzy:
Wiencek, K.
Skowronek, T.
Khatemi, B.
Powiązania:
https://bibliotekanauki.pl/articles/263894.pdf
Data publikacji:
2005
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
metalografia ilościowa
rozkład rozmiaru cząstek
statystyka
stereologia
algorytm Sałtykowa
żeliwo sferoidalne
quantitative metallography
particle size distribution
statistics
stereology
Saltykov algorithm
nodular cast iron
Opis:
A system of non-overlapping random spheres, whose diameters have the Weibull distribution may be used as a model for the graphite in nodule cast iron. For a given material the model probability density function of the Weibull distribution may be determined (as the first approximation) by fitting the PDF of model profile diameters to the one of graphite particle sections. The Weibull distribution may be used as the basis for quantitative metallography of the graphite phase in nodular cast iron.
Układ nienakładających się losowych kul, których średnice mają rozkład Weibulla, może być geometryczno-stochastycznym modelem dla grafitu w żeliwie sferoidalnym. Dla danego żeliwa gęstość prawdopodobieństwa rozkładu Weibulla można wyznaczyć stereologiczną metodą parametryczną poprzez dopasowanie modelowej gęstości prawdopodobieństwa rozkładu średnic przekrojów kul do danych doświadczalnych. Rozkład Weibulla może być podstawą dla metalografii ilościowej grafitu w żeliwie sferoidalnym.
Źródło:
Metallurgy and Foundry Engineering; 2005, 31, 2; 167-173
1230-2325
2300-8377
Pojawia się w:
Metallurgy and Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Genetic algorithms based approach for transhipment hub location in urban areas
Autorzy:
Szczepański, E.
Jacyna-Gołda, I.
Murawski, J.
Powiązania:
https://bibliotekanauki.pl/articles/224003.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
supply chain optimization
genetic algorithm
multi-level distribution system
facilities location problem
Vehicle Routing Problem - VRP
optymalizacja
łańcuch dostaw
algorytm genetyczny
dystrybucja wielopoziomowa
lokalizacja obiektów
Opis:
Points of distribution, sales or service are important elements of the supply chain. These are the final elements which are responsible for proper functioning of the whole cargo distribution process. Proper location of these points in the transport network is essential to ensure the effectiveness and reliability of the supply chain. The location of these points is very important also from the consumers point of view. In this paper developed method of points location was present on the example of urban transport network. The developed approach is based on the Vehicle Routing Problem in the multistage distribution systems. The proposed method uses a genetic algorithm. Article also presents a mathematical model of delivery cost as a criterion function. The article presents an example calculations which illustrating the operation of the developed method.
Źródło:
Archives of Transport; 2014, 31, 3; 73-82
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multicriteria optimization method of LNG distribution
Autorzy:
Chłopińska, E.
Gucma, M.
Powiązania:
https://bibliotekanauki.pl/articles/117110.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
cargo handling
Liquefied Natural Gas (LNG)
Multicriteria Optimization Method
LNG Distribution
Marine Diesel Oil (MDO)
Heavy Fuel Oil (HFO)
Vector Evaluated Genetic Algorithms (VEGA)
Multi-Objective Genetic Algorithm (MOGA)
Opis:
Liquefied Natural Gas (LNG) is considered as a realistic substation of marine fuel in 21 century. Solution of building new engines or converting diesels into gas fueled propulsion meets the stringent international emission regulations. For HFO (heavy fuel oil) or MDO (marine diesel oil) propelled vessels, operation of bunkering is relatively wide known and simple. Its due to the fact that fuel itself doesn’t require high standards of handling. Where for LNG as a fuel its very demanding process – it evaporates and requires either consuming by bunker vessel or reliquefication. Distribution of such bunker is becoming multidimensional problem with time and space constrains. The objective of the article is to review the methods of optimization using genetic algorithms for a model of LNG distribution. In particular, there will be considered methods of solving problems with many boundry criteria whose objective functions are contradictory. Methods used for solving the majority of problems are can prevent the simultaneous optimization of the examined objectives, e.g. the minimisation of costs or distance covered, or the maximisation of profits or efficiency etc. Here the standard genetic algorithms are suitable for solving multi-criteria problems by using functions producing a diversity of results depending on the adopted approach.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 2; 493-497
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-25 z 27

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies