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    Wyświetlanie 1-8 z 8
    Tytuł:
    Multi - criteria decision making using fuzzy preference relations
    Autorzy:
    Borzęcka, H.
    Powiązania:
    https://bibliotekanauki.pl/articles/406292.pdf
    Data publikacji:
    2012
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    fuzzy sets
    optimization
    Pareto-optimal set
    Opis:
    When dealing with multi-criteria decision making problems, the concept of Pareto-optimality and Pareto-dominance may be inefficient (e.g. generally multiple solutions exist), especially when there is a large number of criteria. Our paper considers the fuzzy multi-criteria decision making problem based on Zadeh’s linguistic approach to P-optimality and P-dominance. The construction, analysis and application of a model of multi-criteria decision making using a fuzzy preference relation are considered. The paper is dedicated to the problem of modeling preferences in terms of fuzzy binary relations and provides an introduction to the important problem of forming fuzzy preference relations to analyze models of multi-attribute decision making. The key features of the multi-criteria evaluation, comparison, choice and ordering of alternatives in a fuzzy environment using fuzzy preference relations have been introduced.
    Źródło:
    Operations Research and Decisions; 2012, 22, 3; 5-21
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Improved linear complexities of the frequency hopping sequences in two optimal sets
    Autorzy:
    Gao, J.
    Li, X.
    Wei, Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/206234.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    frequency hopping sequence
    linear complexity
    permutation polynominal
    optimal set
    Opis:
    For the anti-jamming purpose, high linear complexity is desired for each frequency hopping sequence in an optimal set. Using a proper power permutation, Wang has shown that an optimal set of frequency hopping sequences with small linear complexity can be transformed into a new optimal set of frequency hopping sequences with large linear complexity. This paper conains two results. First, we extend the result of Wang. A power permutation is only suitable for a special construction of optimal set of frequency hopping sequences, see Wang (2011). However, the power permutation chosen in this paper applies to the general construction of optimal set of frequency hopping sequences. Second, by using a binomial permutation polynomial P(x), which is different from those permutations used before, we obtain a novel optimal set of frequency hopping sequences with high linear complexity from an optimal set of frequency hopping sequences with small linear complexity. By counting the number of different roots in the sequence representation, we determine the linear complexities of the frequency hopping sequences in two optimal sets transformed by the power permutation or binomial permutation.
    Źródło:
    Control and Cybernetics; 2012, 41, 2; 317-334
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Spacecraft attitude fault tolerant control based on multi-objective optimization
    Autorzy:
    Moradi, Rouzbeh
    Alikhani, Alireza
    Fathi Jegarkandi, Mohsen
    Powiązania:
    https://bibliotekanauki.pl/articles/1839618.pdf
    Data publikacji:
    2020
    Wydawca:
    Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
    Tematy:
    active fault-tolerant control
    spacecraft attitude control
    finite time convergence
    Pareto-optimal set
    Opis:
    An active fault tolerant controller is designed for the attitude control of a faulty spacecraft. Feedback linearization and Lyapunov’s direct method are used to solve angular velocity equations and to ensure convergence of the system outputs to reference inputs, respectively. In order to ensure finite time convergence, final time constraints are proposed. Three con- structive objective functions are considered as performance measures and optimized using multi-objective optimization. The results show that the outputs converge to the reference attitudes, even for severe actuator faults/failures.
    Źródło:
    Journal of Theoretical and Applied Mechanics; 2020, 58, 4; 983-996
    1429-2955
    Pojawia się w:
    Journal of Theoretical and Applied Mechanics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Redukcja hałasu w pomieszczeniu z zaburzeniem wibroakustycznym poprzez optymalny rozkład materiału dźwiękochłonnego
    Noise reduction in a room with vibroacoustic disturbance by the optimal absorptive material distribution
    Autorzy:
    Błażejewski, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/153480.pdf
    Data publikacji:
    2012
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    akustyka
    amplitudy modalne
    optymalizacja
    algorytmy genetyczne
    zbiór rozwiązań Pareto-optymalnych
    acoustics
    modal amplitudes
    optimization
    genetic algorithms
    Pareto-optimal set
    Opis:
    Praca dotyczy zagadnienia rozmieszczenia porowatego materiału absorbującego o zespolonej impedancji akustycznej na brzegach obszaru (pomieszczenia), w którym umieszczone zostało harmoniczne źródło wibroakustyczne. Uproszczony model rozkładu ciśnienia akustycznego w pomieszczeniu uzyskano stosując analizę modalną. Do rozwiązania problemu optymalizacji wykorzystano algorytm genetyczny. Połączenie uproszonego modelu oraz algo-rytmu genetycznego, pozwala na znaczne szybsze i mniej kosztowne obliczeniowo, uzyskiwanie wyników optymalizacji, w postaci rozkładu materiału absorpcyjnego w pomieszczeniu.
    In the paper a problem how to properly influence an acoustic field in the enclosure with a Vibro-acoustical source [1] inside is considered. Particularly, optimization of the configuration of an acoustic absorber, i.e. porous material characterized by a complex impedance on the boundary, is presented [2]. The combination of the modal approach to modeling of the room acoustic field and the artificial intelligence methods to the optimization is a new attitude to the problem. In order to describe the acoustic pressure distribution inside the enclosure, the modal analysis with modal coupling was applied and presented in Section 2. In this case the acoustic pressure distribution in the room is a sum over a set of the room eigenfunctions and proper time components i.e. modal amplitudes [2, 3]. The formulae describing these amplitudes were obtained and eventually introduced into the multi-objective function definition [2, 4] in Section 3. The acoustic impedances on the room boundaries correlated with the material thickness were selected as design variables. In order to solve the optimization problem defined in Section 3 directly, a genetic algorithm was applied. The non-dominated solutions were searched in the process [2, 4, 5, 6]. The main ingredients of the algorithm and its settings are described in Section 4. In Section 5 the example object (room) is specified and shown in detail in Tab. 1. Applying a specific acoustic absorber on the boundary [2, 7], the room with the harmonic source was modified according to the optimization method. As the result, the set of the Pareto-optimal solutions was obtained (see Fig. 1). One solution of the Pareto set was selected and corresponding, particular boundaries covering with the acoustic absorber are shown in Fig. 2. Last, the model accuracy and the optimization results, i.e. noise reduction, are presented in Figs. 3a and 3b. The result verification was performed by comparison with the acoustic measurements (see Figs. 3c and 3d).
    Źródło:
    Pomiary Automatyka Kontrola; 2012, R. 58, nr 6, 6; 536-539
    0032-4140
    Pojawia się w:
    Pomiary Automatyka Kontrola
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of the entropy information for the optimization of an additional measurements location in thermal systems
    Autorzy:
    Szega, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/240001.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    entropia informacji
    optymaIne częstotliwości pomiarowe
    proces cieplny
    rachunek wyrównawczy
    data reconciliation
    information entropy
    optimal set of measurements
    thermal processes
    Opis:
    For the optimal location of an additional surplus measurements in the design of redundant measurements system, from data reconciliation point of view, of thermal processes, an information entropy has been applied. The relative entropy - Kullback-Leibler divergence, has been used. As a criterion of the optimal location of an additional surplus measurements in a system of measurements data, the minimum of the entropy information of reconciled measurements data has been assumed. Hence, the objective function in the described optimization task is maximum of the relative entropy - Kullback-Leibler divergence concerning sets of raw and reconciled measurements data. Simulation calculation with application of data reconciliation algorithm and Monte Carlo method concerning the influence of installation of the additional surplus measurements on decrease of entropy information of measurements after data validation have been carried out. The example calculations concerned the cross high-pressure heat regeneration system with cascade flow of condensate installed in 153 MW power unit equipped with cooler of steam are presented. Calculations for all variants of configurations of an additional surplus measurements in the analyzed thermal system have been done. Usefulness of the proposed Kullback-Leibler divergence as a objective function has been demonstrated.
    Źródło:
    Archives of Thermodynamics; 2011, 32, 3; 215-229
    1231-0956
    2083-6023
    Pojawia się w:
    Archives of Thermodynamics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A sufficient condition for existence of constantly nondominated trajectories in linear time-invariant systems
    Warunek wystarczający istnienia stale niezdominowanej trajektorii w liniowym stacjonarnym systemie dynamicznym
    Autorzy:
    Domka, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/282140.pdf
    Data publikacji:
    2018
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    multi-criteria optimal control
    attainable set
    reachable set
    supporting hyperplane method
    wielokryterialne sterowania optymalne
    zbiór osiągalny
    metoda hiperpłaszczyzn podpierających
    Opis:
    This paper considers the multi-criteria optimal control problem in linear time-invariant systems with a single bounded input. It has been proven that, under certain assumptions, a state trajectory is non-dominated throughout the whole control process if and only if it is yielded by a control signal that belongs to a particular class of bang-bang functions. Furthermore, an explicit formula relating hyperplanes tangent to an attainable set and control switching times is presented.
    W artykule rozważono problem wielokryterialnego sterowania optymalnego w liniowym stacjonarnym systemie dynamicznym z jednym wejściem przyjmującym wartości z ograniczonego przedziału. W szczególności udowodniono, że przy spełnieniu określonych założeń trajektoria stanu jest niezdominowana w trakcie całego procesu sterowania wtedy i tylko wtedy, gdy jest generowana przez sterowanie należące do pewnej klasy sygnałów typu bang-bang. Ponadto został przedstawiony wzór pozwalający wyrazić hiperpłaszczyznę styczną do zbioru osiągalnego w funkcji czasów przełączeń sygnału sterującego.
    Źródło:
    Automatyka / Automatics; 2018, 22, 1; 7-22
    1429-3447
    2353-0952
    Pojawia się w:
    Automatyka / Automatics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The branch-and-bound method and genetic algorithm in avoidance of ships collisions in fuzzy environment
    Autorzy:
    Mohamed-Seghir, Mostefa
    Powiązania:
    https://bibliotekanauki.pl/articles/259091.pdf
    Data publikacji:
    2012
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    safe ship control
    optimal control
    safe trajectories
    branch and bound method
    genetic algorithm
    ship control
    fuzzy set theory
    Opis:
    Marine navigation consists in continuous observation of the situation at sea, determination the anti-collision manoeuvre. So it necessary to determine ship safe trajectory as a sequence of ship course changing manoeuvres. Each manoeuvre is undertaken on the basis of information obtained from the anti-collision system ARPA. This paper describes a method of safe ship control in the collision situation in a fuzzy environment based on a branch and bound method and a genetic algorithm. The optimal safe ship trajectory in a collision situation is presented as multistage decision-making process.
    Źródło:
    Polish Maritime Research; 2012, S 1; 45-49
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Improved Differential Evolution Algorithm to solve multi-objective of optimal power flow problem
    Autorzy:
    Al-Kaabi, Murtadha
    Hasheme, Jaleel Al
    Al-Bahrani, Layth
    Powiązania:
    https://bibliotekanauki.pl/articles/2135728.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Multi-objective Improved Differential Evolution Algorithm
    MOIDEA
    optimal power flow
    OPF
    set of Pareto front solutions
    multi-objective function problems
    fuel costs considering emissions
    fuel costs considering real power losses
    fuel costs considering voltage deviation
    Opis:
    This article presents a new efficient optimization technique namely the Multi- Objective Improved Differential Evolution Algorithm (MOIDEA) to solve the multiobjective optimal power flow problem in power systems. The main features of the Differential Evolution (DE) algorithm are simple, easy, and efficient, but sometimes, it is prone to stagnation in the local optima. This paper has proposed many improvements, in the exploration and exploitation processes, to enhance the performance of DE for solving optimal power flow (OPF) problems. The main contributions of the DE algorithm are i) the crossover rate will be changing randomly and continuously for each iteration, ii) all probabilities that have been ignored in the crossover process have been taken, and iii) in selection operation, the mathematical calculations of the mutation process have been taken. Four conflicting objective functions simultaneously have been applied to select the Pareto optimal front for the multi-objective OPF. Fuzzy set theory has been used to extract the best compromise solution. These objective functions that have been considered for setting control variables of the power system are total fuel cost (TFC), total emission (TE), real power losses (RPL), and voltage profile (VP) improvement. The IEEE 30-bus standard system has been used to validate the effectiveness and superiority of the approach proposed based on MATLAB software. Finally, to demonstrate the effectiveness and capability of the MOIDEA, the results obtained by this method will be compared with other recent methods.
    Źródło:
    Archives of Electrical Engineering; 2022, 71, 3; 641--657
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

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