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    Wyświetlanie 1-15 z 15
    Tytuł:
    Energy losses in big band saw machines – analysis and optimization
    Autorzy:
    Marinov, Boycho
    Powiązania:
    https://bibliotekanauki.pl/articles/949943.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    band saw machine
    kinetic energy losses
    optimization procedure
    optimization solution
    Opis:
    In this paper, the energy losses in big band saw machines are investigated. These losses are caused by the geometric and angular inaccuracies with which the leading wheels are made. Expressions for calculating the kinetic energy of the mechanical system in the ideal and the real cases are obtained. For this purpose, expressions for calculating the velocities of the centers of the masses in two mutually perpendicular planes are obtained. A dependence for calculation of the kinetic energy losses of the mechanical system in final form is received. Optimization procedure is used to determine the values of the parameters at which these losses have minimum values. The proposed study can be used to minimize energy losses in other classes of woodworking machines.
    Źródło:
    Archive of Mechanical Engineering; 2020, LXVII, 3; 335-351
    0004-0738
    Pojawia się w:
    Archive of Mechanical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The verification of the estimation of transport and sorption parameters in the MATLAB environment. A column test
    Autorzy:
    Okońska, M.
    Kaczmarek, M.
    Małoszewski, P.
    Marciniak, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/184718.pdf
    Data publikacji:
    2017
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    column tests
    sorption models
    parameters
    numerical solution
    optimization
    MATLAB
    Opis:
    Mathematical modelling of the migration of pollutants in the groundwater environment requires knowledge of the values of transport and sorption parameters. The aim of this study was 1) to determine the values of advection, dispersion and sorption parameters of selected tracers that are transported through a porous medium, and 2) to verify the applied parameters estimation procedure. The authors examined the migration of a solution containing conservative and reactive tracers (chloride, nitrate, lithium and ammonium ions) through a sample of medium sand. The soil sample for the column test was taken from an aquifer near the Tursko groundwater intake (Wielkopolska province, Poland). The parameter estimation procedure, conducted in the MATLAB environment, included the numerical solution of the differential equations of transport and sorption, and the application of the numerical optimization method. During the identification, the authors tested twelve mathematical models including the advection-dispersion model, as well as single and hybrid (i.e. two-site) sorption models. The authors made a comparison of parameter values obtained by means of the global and local optimization method. The fitting quality was assessed by calculating the root mean square error RMSE and correlation coefficient r. As a result of the research, the authors determined the values of the advection-dispersion parameters: hydraulic conductivity k, effective porosity n e, and longitudinal dispersivity α. The authors found out that the nature oflithium ions migration is best captured by the single sorption model (equilibrium sorption), whereas the nature of ammonium ions migration is by the hybrid model with irreversible sorption. Lithium ions on the tested soil revealed low sorption intensity, ammonium ions showed medium intensity, while nitrate ions were transported at the same rate as chloride ions, exhibiting no retardation. The verification of parameter estimation in the MATLAB environment was carried out by comparing it against the alternative, well-known and often tested method, based on analytical solutions of the transport and sorption equation, combined with optimization within the FIELD and KLUTE-STEP programmes.
    Źródło:
    Geology, Geophysics and Environment; 2017, 43, 3; 213-227
    2299-8004
    2353-0790
    Pojawia się w:
    Geology, Geophysics and Environment
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Improving the intensification and diversification balance of the tabu solution for the Robust Capacitated International Sourcing problem (RoCIS)
    Autorzy:
    Huacuja, H. J. F.
    González-Velarde, J. R.
    Valdez, G. C.
    Powiązania:
    https://bibliotekanauki.pl/articles/385145.pdf
    Data publikacji:
    2010
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    RoCis
    heuristic approach
    optimization
    initial solution
    tabu search
    memory strategies
    Opis:
    This paper addresses the robust capacitated international sourcing problem (RoCIS), which consists of selecting a subset of suppliers with finite capacity, from an available set of potential suppliers internationally located. This problem was introduced by González-Velarde and Laguna in [1], where they propose a deterministic solution method based on tabu search memory strategies. The pro cess consists of three steps: build an initial solution, create a neighborhood of promising solutions and perform a local search in the neighborhood. In this work we propose improving the construction of the initial solution, the cons truction of the neighborhood, the local search, and the intensification and diversification balance. Experimental evidence shows that the improved tabu solution with diver sification outperforms the best solutions reported for six of the instances considered, increases by 18% the number of best solutions found and reduces by 44% the deviation of the best solution found, respect to the best algorithm reported.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2010, 4, 4; 64-73
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On a multi-objective optimization problem arising from production theory
    Autorzy:
    Roman, Maria
    Wieczorek, Andrzej
    Powiązania:
    https://bibliotekanauki.pl/articles/1338896.pdf
    Data publikacji:
    1999
    Wydawca:
    Polska Akademia Nauk. Instytut Matematyczny PAN
    Tematy:
    multi-objective optimization
    (weakly) efficient solution
    household production
    (weak) Pareto optimality
    Opis:
    The paper presents a natural application of multi-objective programming to household production and consumption theory. A contribution to multi-objective programming theory is also included.
    Źródło:
    Applicationes Mathematicae; 1998-1999, 25, 4; 411-415
    1233-7234
    Pojawia się w:
    Applicationes Mathematicae
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Necessary optimality conditions for robust nonsmooth multiobjective optimization problems
    Autorzy:
    Gadhi, Nazih Abderrazzak
    Ohda, Mohamed
    Powiązania:
    https://bibliotekanauki.pl/articles/2183482.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    convexificator
    directional constraint qualification
    efficient solution
    optimality conditions
    robust multiobjective optimization
    Opis:
    This paper deals with a robust multiobjective optimization problem involving nonsmooth/nonconvex real-valued functions. Under an appropriate constraint qualification, we establish necessary optimality conditions for weakly robust efficient solutions of the considered problem. These optimality conditions are presented in terms of Karush-Kuhn-Tucker multipliers and convexificators of the related functions. Examples illustrating our findings are also given.
    Źródło:
    Control and Cybernetics; 2022, 51, 3; 289--302
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis, evaluation, and optimization of bio-medical thermo-resistive micro-calorimetric flow sensor using an analytical approach
    Autorzy:
    Babaelahi, Mojtaba
    Sadri, Somayyeh
    Powiązania:
    https://bibliotekanauki.pl/articles/2051855.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    thermo-resistive
    micro-calorimetric
    sensor
    temperature
    variable conductivity
    analytical solution
    optimization
    Opis:
    Sensitive MEMS-based thermal flow sensors are the best choice for monitoring the patient’s respiration prompt diagnosis of breath disturbances. In this paper, open space micro-calorimetric flow sensors are investigated as precise monitoring tools. The differential energy balance equation, including convection and conduction terms, is derived for thermal analysis of the considered sensor. The temperature-dependent thermal conductivity of the thin silicon-oxide membrane layer is considered in the energy balance equation. The derived thermal non-linear differential equation is solved using a well-known analytical method, and a finite-element numerical solution is used for the confirmation. Results show that the presented analytical model offers a precise tool for evaluating these sensors. The effects of flow and thin membrane film parameters on thermo-resistive micro-calorimetric flow sensors’ performance and sensitivity are evaluated. The optimization has been performed at different flow velocities using a genetic algorithm method to determine the optimum configuration of the considered flow sensor. The geometrical parameters are selected as a decision variable in the optimization procedure. In the final step, using optimization results and curve-fitting, the expressions for the optimum decision variables have been derived. The sensor’s optimum configuration is achieved analytically based on flow velocity with the analytical terms for optimum decision variables.
    Źródło:
    Metrology and Measurement Systems; 2022, 29, 1; 109-125
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    THE METHOD OF SUPPORTING DECISIONS UNDER RISK BASED ON MULTIOBJECTIVE OPTIMIZATION
    Autorzy:
    Łodziński, Andrzej
    Powiązania:
    https://bibliotekanauki.pl/articles/453768.pdf
    Data publikacji:
    2013
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
    Tematy:
    multiobjective optimization
    symmetrically efficient solution
    scalarization function
    supporting a decision-making process
    Opis:
    The method of supporting decisions under risk was presented in this paper. Making decision under risk takes place when a result of a given decision is not explicit and depends on the condition of the environment. A decision-making process based on multiobjective optimization has been presented in this paper. Methods of multiobjective optimization do not give one unique solution, but a whole set of them. A decision making relies on interactive conducting of the decision making process. Selection of given decision is made by way of solving a problem with parameters defining aspirations of a decision maker and the evaluation of obtained results. A decision maker defines a parameter, for which a solution is indicated. Then he or she evaluates the received solution by either accepting or rejecting it. In the second case a decision maker provides a new parameter value and a problem is solved again for the new parameter.39-50
    Źródło:
    Metody Ilościowe w Badaniach Ekonomicznych; 2013, 14, 2; 39-50
    2082-792X
    Pojawia się w:
    Metody Ilościowe w Badaniach Ekonomicznych
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The Using the Multi-criteria Optimization to Support the Selection of Joint Decision within Comptetitive Environment
    Autorzy:
    Lodzinski, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/384588.pdf
    Data publikacji:
    2015
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    joint decision
    multicriteria optimization
    equitably efficient solution
    scalarization function
    joint decision making
    Opis:
    The paper presents the method of facilitating joint decision making in a competitive environment. We deal with a joint decision when the group of people with different preferences are to make one single decision. The joint decision selection process is modelled with the use of multi-criteria optimization task. It is solved with the use of reference point method. This method is an interactive method in which every person specifies its requirements in the form of a reference point, expressing the desired values for its evaluation function. On the basis of the provided reference point, a scalar achievement function is built. Maximization of this function generates a solution of the multi-criteria task. This solution is presented to every person for acceptance or as a basis for the modification of the reference point. The paper gives an example of applying the proposed decision making while competing by three persons of different preferences.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2015, 9, 2; 37-41
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Advances in development of dedicated evolutionary algorithms for large non-linear constrained optimization problems
    Autorzy:
    Głowacki, M.
    Orkisz, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/31343110.pdf
    Data publikacji:
    2013
    Wydawca:
    Instytut Podstawowych Problemów Techniki PAN
    Tematy:
    evolutionary algorithms
    large non-linear constrained optimization
    solution efficiency increase
    algorytmy ewolucyjne
    Opis:
    Efficient optimization algorithms are of great importance in many scientific and engineering applications. This paper considers development of dedicated Evolutionary Algorithms (EA) based approach for solving large, non-linear, constrained optimization problems. The EA are precisely understood here as decimal-coded Genetic Algorithms consisting of three basic operators: selection, crossover and mutation, followed by several newly developed calculation speed-up techniques. Efficiency increase of the EA computations may be obtained in several ways, including simple concepts proposed here like: solution smoothing and balancing, a posteriori solution error analysis, non-standard use of distributed and parallel calculations, and step-by-step mesh refinement. Efficiency of the proposed techniques has been evaluated using several benchmark tests. These preliminary tests indicate significant speed-up of the large optimization processes involved. Considered are applications of the EA to the sample problem of residual stresses analysis in elastic-plastic bodies being under cyclic loadings, and to a wide class of problems resulting from the Physically Based Approximation (PBA) of experimental data.
    Źródło:
    IPPT Reports on Fundamental Technological Research; 2013, 4; 25-29
    2299-3657
    Pojawia się w:
    IPPT Reports on Fundamental Technological Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Repulsive self - adaptive acceleration particle swarm optimization approach
    Autorzy:
    Ludwig, S. A.
    Powiązania:
    https://bibliotekanauki.pl/articles/91874.pdf
    Data publikacji:
    2014
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    adaptive Particle Swarm Optimization
    adaptive PSO
    optimization
    Repulsive Self-adaptive Acceleration PSO
    RSAPSO
    velocity weights
    optimal solution of the problem
    function evaluations
    Opis:
    Adaptive Particle Swarm Optimization (PSO) variants have become popular in recent years. The main idea of these adaptive PSO variants is that they adaptively change their search behavior during the optimization process based on information gathered during the run. Adaptive PSO variants have shown to be able to solve a wide range of difficult optimization problems efficiently and effectively. In this paper we propose a Repulsive Self-adaptive Acceleration PSO (RSAPSO) variant that adaptively optimizes the velocity weights of every particle at every iteration. The velocity weights include the acceleration constants as well as the inertia weight that are responsible for the balance between exploration and exploitation. Our proposed RSAPSO variant optimizes the velocity weights that are then used to search for the optimal solution of the problem (e.g., benchmark function). We compare RSAPSO to four known adaptive PSO variants (decreasing weight PSO, time-varying acceleration coefficients PSO, guaranteed convergence PSO, and attractive and repulsive PSO) on twenty benchmark problems. The results show that RSAPSO achives better results compared to the known PSO variants on difficult optimization problems that require large numbers of function evaluations.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2014, 4, 3; 189-204
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Support of Decision-Making under Risk by a Risk-Averse Decision-Maker
    Autorzy:
    Łodziński, Andrzej
    Powiązania:
    https://bibliotekanauki.pl/articles/375923.pdf
    Data publikacji:
    2019
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    decision-making under risk
    multi-criteria optimization
    equitably efficient solution
    scalarizing function
    decision support system
    Opis:
    The paper presents a method of supporting decision-making under risk by a risk- -averse decision-maker. Decision-making under risk occurs when the outcome of the system is ambiguous and depends on the state of the environment. The problem is considered as a multi-criteria optimization. The decision support method consists of interactive conduct of the process of decision-making. The decision is made by means of solving a problem with controlling parameters, which determine the aspirations of the decision-maker and evaluating the obtained solutions. The decision-maker sets parameters for which a solution is determined. Subsequently, he or she assesses the obtained solution, accepting or rejecting it. In the latter case, the decision-maker sets new values for the parameters and the problem is solved again. The present paper presents a discrete example of support for decision making under risk.
    Źródło:
    Decision Making in Manufacturing and Services; 2019, 13, 1-2; 73-83
    1896-8325
    2300-7087
    Pojawia się w:
    Decision Making in Manufacturing and Services
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-Criteria Optimization Approach to Modeling Negotiation Process
    Autorzy:
    Łodziński, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/375876.pdf
    Data publikacji:
    2018
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    negotiation process
    multi-criteria optimization
    equitably efficient decision
    achievement function
    set of negotiations
    method for solution selection
    Opis:
    This paper presents a multi-criteria optimization approach for modeling the negotiation process. The negotiation process is modeled as a special multi-criteria problem. The method of finding solutions involves a process of the interactive selection of certain proposals. The parties submit proposals concerning the subjects of the negotiations; these proposals constitute the parameters of the multi-criteria optimization problem. Selecting the solutions is accomplished by solving the optimization problem using the parameters that define the aspirations of each party to the negotiations. Finally, the solutions reached by the parties are evaluated.
    Źródło:
    Decision Making in Manufacturing and Services; 2018, 12, 1-2; 33-44
    1896-8325
    2300-7087
    Pojawia się w:
    Decision Making in Manufacturing and Services
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Exact controllability of a string to rest with a moving boundary
    Autorzy:
    Gugat, Martin
    Powiązania:
    https://bibliotekanauki.pl/articles/970107.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    pde constrained optimization
    optimal control of pdes
    optimal boundary control
    wave equation
    analytic solution
    exact controllability
    moving boundaries
    mining elevator
    Opis:
    We consider the problem of steering a finite string to the zero state in finite time from a given initial state by controlling the state at one boundary point while the other boundary point moves. As a possible application we have in mind the optimal control of a mining elevator, where the length of the string changes during the transportation process. During the transportation process, oscillations of the elevator-cable can occur that can be damped in this way. We present an exact controllability result for Dirichlet boundary control at the fixed end of the string that states that there exist exact controls for which the oscillations vanish after finite time. For the result we assume that the movements are Lipschitz continuous with a Lipschitz constant, whose absolute value is smaller than the wave speed. In the result, we present the minimal time, for which exact controllability holds, this time depending on the movement of the boundary point. Our results are based upon travelling wave solutions. We present a representation of the set of successful controls that steer the system to rest after finite time as the solution set of two point-wise equalities. This allows for a transformation of the optimal control problem to a form where no partial differential equation appears. This representation enables interesting insights into the structure of the successful controls. For example, exact bang-bang controls can only exist if the initial state is a simple function and the initial velocity is zero.
    Źródło:
    Control and Cybernetics; 2019, 48, 1; 69-87
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Genetic algorithm application for optimizing traffic signal timing reflecting vehicle emission intensity
    Autorzy:
    Hai, Dinh Tuan
    Manh, Do Van
    Nhat, Nguyen Minh
    Powiązania:
    https://bibliotekanauki.pl/articles/2098075.pdf
    Data publikacji:
    2021
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    traffic signal optimization
    heuristic solution
    genetic algorithm
    vehicle exhaust emission
    intelligent transport system
    optymalizacja sygnalizacji drogowej
    rozwiązanie heurystyczne
    algorytm genetyczny
    emisja spalin pojazdu
    inteligentny system transportowy
    Opis:
    Urbanization has created continuous growth in transportation demand, leading to serious issues, including infrastructure overload, disrupted traffic flow, and associated vehicular emissions. As a result, resolving these problems has become one of the primary missions of governments worldwide. The optimization of the traffic signal timing system is considered a promising approach to overcoming the negative consequences of increasing vehicle volume. In metropolises, oversaturated intersections, where the traffic density and vehicle exhaust emission levels are significant, have been considered as the priority to target. Several scientists have attempted to design traffic lights with the most appropriate timing. However, the majority of previous studies have not formed a comprehensive evaluation of essential factors, especially regarding the appropriate weighting of vehicle emission parameters. By assessing the all-inclusive relationship of critical elements with an emphasis on vehicle exhaust emissions, a performance index model using a genetic algorithm (GA) is established in this paper, demonstrated by data from a case study in Taiwan.
    Źródło:
    Transport Problems; 2021, 16, 1; 5--16
    1896-0596
    2300-861X
    Pojawia się w:
    Transport Problems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-objective optimization of PCM-fin structure for staggered Li-ion battery packs
    Autorzy:
    Qiu, Chenghui
    Wu, Chongtian
    Yuan, Xiaolu
    Wu, Linxu
    Yang, Jiaming
    Shi, Hong
    Powiązania:
    https://bibliotekanauki.pl/articles/27311457.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    staggered arrangement
    phase change material
    fin
    multi-objective optimization
    thermal management
    entropy weight
    TOPSIS method
    technique for order of preference by similarity to ideal solution
    układ naprzemienny
    materiał o przemianie fazowej
    materiał zmieniający fazę
    płetwa
    optymalizacja wielocelowa
    optymalizacja wieloobiektowa
    zarządzanie ciepłem
    entropia wagi
    metoda TOPSIS
    technika porządkowania preferencji według podobieństwa do idealnego rozwiązania
    Opis:
    Endurance capability is a key indicator to evaluate the performance of electric vehicles. Improving the energy density of battery packs in a limited space while ensuring the safety of the vehicle is one of the currently used technological solutions. Accordingly, a small space and high energy density battery arrangement scheme is proposed in this paper. The comprehensive performance of two battery packs based on the same volume and different space arrangements is compared. Further, based on the same thermal management system (PCM-fin system), the thermal performance of staggered battery packs with high energy density is numerically simulated with different fin structures, and the optimal fin structure parameters for staggered battery packs at a 3C discharge rate are determined using the entropy weight-TOPSIS method. The result reveals that increasing the contact thickness between the fin and the battery (X) can reduce the maximum temperature, but weaken temperature homogeneity. Moreover, the change of fin width (A) has no significant effect on the heat dissipation performance of the battery pack. Entropy weight-TOPSIS method objectively assigns weights to both maximum temperature (Tmax) and temperature difference (DT) and determines the optimal solution for the cooling system fin parameters. It is found that when X = 0:67 mm, A = 0:6 mm, the staggered battery pack holds the best comprehensive performance.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 4; art. no. e145677
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-15 z 15

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