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    Wyświetlanie 1-7 z 7
    Tytuł:
    Knesers theorems for strong, weak and pseudo-solutions of ordinary differential equations in Banach spaces
    Autorzy:
    Cichoń, Mieczysław
    Kubiaczyk, Ireneusz
    Powiązania:
    https://bibliotekanauki.pl/articles/1311465.pdf
    Data publikacji:
    1995
    Wydawca:
    Polska Akademia Nauk. Instytut Matematyczny PAN
    Tematy:
    set of solutions
    pseudo-solutions
    measures of weak noncompactness
    Pettis integral
    Opis:
    We investigate the structure of the set of solutions of the Cauchy problem x' = f(t,x), x(0) = x₀ in Banach spaces. If f satisfies a compactness condition expressed in terms of measures of weak noncompactness, and f is Pettis-integrable, then the set of pseudo-solutions of this problem is a continuum in $C_{w}(I,E)$, the space of all continuous functions from I to E endowed with the weak topology. Under some additional assumptions these solutions are, in fact, weak solutions or strong Carathéodory solutions, so we also obtain Kneser-type theorems for these classes of solutions.
    Źródło:
    Annales Polonici Mathematici; 1995, 62, 1; 13-21
    0066-2216
    Pojawia się w:
    Annales Polonici Mathematici
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Existence and Computation of the Set of Positive Solutions to Polynomial Matrix Equations
    Autorzy:
    Kaczorek, T.
    Łopatka, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/911183.pdf
    Data publikacji:
    2000
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    obliczanie
    równanie macierzowe
    computation
    set of positive solutions
    polynomial matrix equation
    Opis:
    Necessary and sufficient conditions are established for the existence of positive solutions to polynomial diophatine equations. A method of computing of the set of positive solutions to a polynomial diophatine equation based on extreme points and extreme directions is proposed. The effectiveness of the method is demonstrated on a numerical example.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2000, 10, 2; 309-320
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-objective optimization of high speed vehicle-passenger catamaran by genetic algorithm. Part II. Analysis of the results
    Autorzy:
    Sekulski, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/260079.pdf
    Data publikacji:
    2011
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    ship structure
    multi-objective optimization
    evolutionary algorithm
    genetic algorithm
    Pareto domination
    set of non-dominated solutions
    Opis:
    Real ship structural design problems are usually characterized by presence of many conflicting objectives. Simultaneously, a complete definition of the optimum structural design requires a formulation of size-topology-shape-material optimization task unifying the optimization problems from the four areas and giving an effective solution of the problem. Any significant progress towards solving the problem has not been obtained so far. An objective of the present paper was to develop an evolutionary algorithm for multiobjective optimization of the structural elements of large spatial sections of ships. Selected elements of the multi-criteria optimization theory have been presented in detail. Methods for solution of the multi-criteria optimization problems have been discussed with the focus on the evolutionary optimization algorithms. In the paper an evolutionary algorithm where selection takes place based on the aggregated objective function combined with domination attributes as well as distance to the asymptotic solution, is proposed and applied to solve the problem of optimizing structural elements with respect to their weight and surface area for a high - speed vehicle-passenger catamaran structure, with taking into account several design variables such as plate thickness, scantlings of longitudinal stiffeners and transverse frames, and spacing between longitudinal and transversal members. Details of the computational models were kept at the level typical for conceptual design stage. Scantlings were analyzed by using the selected classification society rules. The results of numerical experiments with the use of the developed algorithm are presented. They show that the proposed genetic algorithm may be considered an efficient tool for multi-objective optimization of ship structures. The paper has been published in the three parts: Part I: Theoretical background on evolutionary multiobjective optimization, Part II: Computational simulations, and Part III: Analysis of the results.
    Źródło:
    Polish Maritime Research; 2011, 4; 3-13
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-objective optimization of high speed vehicle-passenger catamaran by genetic algorithm. Part I. Theoretical background on evolutionary multi objective optimization
    Autorzy:
    Sekulski, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/259303.pdf
    Data publikacji:
    2011
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    ship structure
    multi-objective optimization
    evolutionary algorithm
    genetic algorithm
    Pareto domination
    set of non-dominated solutions
    Opis:
    Real ship structural design problems are usually characterized by presence of many conflicting objectives. Simultaneously, a complete definition of the optimal structural design requires a formulation of size-topology-shape-material optimization task unifying the optimization problems from these four areas and giving an effective solution of this problem. So far, a significant progress towards the solution of this problem has not been obtained. An objective of the present paper was to develop an evolutionary algorithm for multi-objective optimization of the structural elements of the large spatial sections of ships. Selected elements of the multi-criteria optimization theory have been presented in details. Methods for solution of the multi-criteria optimization problems have been discussed with the focus on the evolutionary optimization algorithms. In the paper an evolutionary algorithm where selection takes place based on the aggregated objective function combined with domination attributes as well as distance to the asymptotic solution is proposed and applied to solve the problem of optimizing structural elements with respect to their weight and surface area on a high speed vehicle-passenger catamaran structure with several design variables, such as plate thickness, scantlings of longitudinal stiffeners and transverse frames, and spacing between longitudinals and transversal members. Details of the computational models were at the level typical for conceptual design. Scantlings were analyzed using the selected rules of a classification society. The results of numerical experiments with the use of the developed algorithm are presented. They show that the proposed genetic algorithm can be an efficient multi-objective optimization tool for ship structures optimization. The paper will be published in three parts: Part I: Theoretical background on evolutionary multi-objective optimization, Part II: Computational investigations, and Part III: Analysis of the results.
    Źródło:
    Polish Maritime Research; 2011, 2; 3-18
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A relation of dominance for the bicriterion bus routing problem
    Autorzy:
    Widuch, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/330092.pdf
    Data publikacji:
    2017
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    multicriteria optimization
    set of nondominated solutions
    bicriterion shortest path problem
    variable weights
    label correcting algorithm
    transportation problem
    optymalizacja wielokryterialna
    zbiór rozwiązań niezdominowanych
    dwukryterialny problem najkrótszej ścieżki
    zmienne wagi
    problem transportowy
    Opis:
    A bicriterion bus routing (BBR) problem is described and analysed. The objective is to find a route from the start stop to the final stop minimizing the time and the cost of travel simultaneously. Additionally, the time of starting travel at the start stop is given. The BBR problem can be resolved using methods of graph theory. It comes down to resolving a bicriterion shortest path (BSP) problem in a multigraph with variable weights. In the paper, differences between the problem with constant weights and that with variable weights are described and analysed, with particular emphasis on properties satisfied only for the problem with variable weights and the description of the influence of dominated partial solutions on non-dominated final solutions. This paper proposes methods of estimation a dominated partial solution for the possibility of obtaining a non-dominated final solution from it. An algorithm for solving the BBR problem implementing these estimation methods is proposed and the results of experimental tests are presented.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2017, 27, 1; 133-155
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Zintegrowany System Wspomagający Zarządzanie Informacją o Kolejowym Ruchu Pasażerskim (ZSIKRP)
    The Integrated System Aided Management On Passenger Information Train Traffic (ISAMPITT)
    Autorzy:
    Hejczyk, T.
    Wszołek, B.
    Gałuszka, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/152371.pdf
    Data publikacji:
    2014
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    integracja modułów
    moduł detekcji kolizji
    moduł detekcji zagrożeń
    monitoring przejazdów kolejowych
    optymalizacja
    zbiór rozwiązań Pareto-optymalnych
    rozwiązania niezdominowane
    integration units
    detect and collision unit
    monitoring of railway crossings
    optimization
    set of the Paretooptimal solutions
    non-inferior solutions
    Opis:
    W artykule przedstawiono zintegrowany system zawierający w sobie ulepszone moduły z rozszerzonym zakresem funkcjonalności: video monitoringu, diagnostyki pojazdu, zliczania potoków pasażerskich, informacji pasażerskiej w pociągu, dynamicznego rozkładu jazdy, jednostki centralnej i centrum nadzoru. Zaprojektowano i stworzono pilotażowy system zawierający nowe moduły: sygnalizacji pożarowej, monitoringu pracy maszynisty, detekcji kolizji i zagrożeń, dostępu do Internetu i Intranetu, optymalizacji zużycia paliwa, moduł monitoringu przejazdów kolejowych i połączono je w całość tworząc, tym samym, Zintegrowany System Wspomagający Zarządzanie Informacją o Kolejowym Ruchu Pasażerskim.
    The article presents integrated system included improved units with extended functionality: video monitoring, train diagnostics, passenger counter, passenger information system, dynamic timetable, main unit, supervision unit. Designed and created system included new units: fire signaling, eye-tracking, the detect and collision system, the Internet and Intranet access system and the optimization petrol consumption system, the protected level crossing railway unit. These connected units form The Integrated System Aided Management On Passenger Information Train Traffic.
    Źródło:
    Pomiary Automatyka Kontrola; 2014, R. 60, nr 11, 11; 1033-1036
    0032-4140
    Pojawia się w:
    Pomiary Automatyka Kontrola
    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 1-7 z 7

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