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    Wyświetlanie 1-12 z 12
    Tytuł:
    Advances in cone-based preference modeling for decision making with multiple criteria
    Autorzy:
    Wiecek, M. M.
    Powiązania:
    https://bibliotekanauki.pl/articles/375937.pdf
    Data publikacji:
    2007
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    cones
    preferences
    nondominated solutions
    Pareto solutions
    multiple criteria
    decision making
    Opis:
    Decision making with multiple criteria requires preferences elicited from the decision maker to determine a solution set. Models of preferences, that follow upon the concept of nondominated solutions introduced by Yu (1974), are presented and compared within a unified framework of cones. Polyhedral and nonpolyhedral, convex and nonconvex, translated, and variable cones are used to model different types of preferences. Common mathematical properties of the preferences are discussed. The impact of using these preferences in decision making is emphasized.
    Źródło:
    Decision Making in Manufacturing and Services; 2007, 1, 1-2; 153-173
    1896-8325
    2300-7087
    Pojawia się w:
    Decision Making in Manufacturing and Services
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Information management in passenger traffic supporting system design as a multi-criteria discrete optimization task
    Autorzy:
    Galuszka, A.
    Krystek, J.
    Swierniak, A.
    Lungoci, C.
    Grzejszczak, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/229171.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    multi objective optimization
    discrete static optimization
    Pareto solutions
    integrated systems
    Opis:
    This paper presents a concept of an Integrated System of Supporting Information Management in Passenger Traffic (ISSIMPT). The novelty of the system is an integration of six modules: video monitoring, counting passenger flows, dynamic information for passengers, the central processing unit, surveillance center and vehicle diagnostics into one coherent solution. Basing on expert evaluations, we propose to present configuration design problem of the system as a multi-objectives discrete static optimization problem. Then, hybrid method joining properties of weighted sum and ε-constraint methods is applied to solve the problem. Solution selections based on hybrid method, using set of exemplary cases, are shown.
    Źródło:
    Archives of Control Sciences; 2017, 27, 2; 229-238
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimality conditions in multiobjective programming problems with interval valued objective functions
    Autorzy:
    Ahmad, I.
    Singh, D.
    Dar, B. A.
    Powiązania:
    https://bibliotekanauki.pl/articles/206566.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    interval valued functions
    gH-differentiablity
    Pareto optimal solutions
    pseudoconvexity
    KKT optimality conditions
    Opis:
    We devote this paper to study of multiobjective programming problems with interval valued objective functions. For this, we consider two order relations LU and LS on the set of all closed intervals and propose several concepts of Pareto optimal solutions and generalized convexity. Based on generalized convexity (viz. LU and LS-pseudoconvexity) and generalized differentiability (viz. gHdifferentiablity) of interval valued functions, the KKT optimality conditions for aforesaid problems are obtained. The theoretical development is illustrated by suitable examples.
    Źródło:
    Control and Cybernetics; 2015, 44, 1; 19-45
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    How Quantum Prisoner’s Dilemma Can Support Negotiations
    Autorzy:
    Szopa, Marek
    Powiązania:
    https://bibliotekanauki.pl/articles/430038.pdf
    Data publikacji:
    2014
    Wydawca:
    Uniwersytet w Białymstoku. Wydawnictwo Uniwersytetu w Białymstoku
    Tematy:
    game theory
    quantum game
    prisoner’s dilemma
    Nash equilibrium
    Pareto optimal solutions
    Opis:
    Decision-making by the two negotiating parties is simulated by a prisoner’s dilemma game. The game is formulated in a quantum manner, where players strategies are unitary transformations of qubits built over the basis of opposite decision options. Quantum strategies are correlated through the mechanism of quantum entanglement and the result of the game is obtained by the collapse of the resulting transformed state. The range of strategies allowed for quantum players is richer than in case of a classical game and therefore the result of the game can be better optimized. On the other hand, the quantum game is save against eavesdropping and the players can be assured that this type of quantum arbitration is fair. We show that quantum prisoner’s dilemma has more favorable Nash equilibria than its classical analog and they are close to the Pareto optimal solutions. Some economical examples of utilizing quantum game Nash equilibria are proposed.
    Źródło:
    Optimum. Economic Studies; 2014, 5(71)
    1506-7637
    Pojawia się w:
    Optimum. Economic Studies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On localizing global Pareto solutions in a given convex set
    Autorzy:
    Drwalewska, Agnieszka
    Gajek, Lesław
    Powiązania:
    https://bibliotekanauki.pl/articles/1338686.pdf
    Data publikacji:
    1999
    Wydawca:
    Polska Akademia Nauk. Instytut Matematyczny PAN
    Tematy:
    sufficient and necessary conditions for optimality
    Pareto optimal solutions
    dual cones
    feasible directions
    Opis:
    Sufficient conditions are given for the global Pareto solution of the multicriterial optimization problem to be in a given convex subset of the domain. In the case of maximizing real valued-functions, the conditions are sufficient and necessary without any convexity type assumptions imposed on the function. In the case of linearly scalarized vector-valued functions the conditions are sufficient and necessary provided that both the function is concave and the scalarization is increasing with respect to the cone generating the preference relation.
    Źródło:
    Applicationes Mathematicae; 1999, 26, 4; 383-394
    1233-7234
    Pojawia się w:
    Applicationes Mathematicae
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Polioptymalizacja rozmyta w MATLABie
    on tools for wood machining
    Autorzy:
    Tarnowski, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/152712.pdf
    Data publikacji:
    2011
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    polioptymalizacja
    optymalizacja wielokryterialna
    logika rozmyta
    sterowanie rozmyte
    kryteria lingwistyczne
    model matematyczny
    zbiór Pareto
    zbiór rozwiązań kompromisowych
    poly-optimisation
    Multi Attribute Decision Making (MADM)
    fuzzy logic
    fuzzy control
    linguistic criteria
    mathematical models
    Pareto solutions
    trade-off solutions
    Opis:
    Skutecznym sposobem wdrożenia optymalizacji do praktyki może być wykorzystanie logiki rozmytej do tworzenia modeli matematycznych zadania optymalizacji, jeśli jest dostępna wiedza ekspercka dotycząca obiektu optymalizacji. Dzięki temu: a) unika się żmudnego procesu budowania modelu analitycznego i b) umożliwia się uwzględnienie w modelu rozmytych kryteriów i ograniczeń. W pracy pokazano procedurę wspomagania optymalizacji za pomocą pakietu MATLAB na przykładzie z dwoma i z trzema kryteriami optymalizacji, w ujęciu polioptymalizacyjnym. Wyciągnięto wnioski metodologiczne.
    As for now, optimization techniques are not very popular in real engineering, though they are taught at universities and are recognized as very useful in design and management. Probably the main reason is that mathematical models of objects are difficult to device and, what more criteria may not be precisely defined. A way to enhance an effective implementation of optimisation and MADM techniques to a real practice is a fuzzy logic approach to modelling an optimisation problem, if only the expert knowledge is at hand. It yields: a) avoiding the laborious and often not possible process of building an analytical model, b) makes it possible to use fuzzy and imprecise notions and aspects. In the paper there is proposed a procedure how to device and handle such models in the MATLAB environment to get a Pareto set solutions, in poly-optimisation. The methodology is illustrated on an example of a chemical reactor. The poly-optimal control is to be found. First, having stated criteria, as fuzzy and/or non-fuzzy notions (product quality and effectiveness, in the example), an expert arbitrarily defines decision variables (process temperature, time and mixing velocity), and their membership functions, then a mathematical model is established as a set of rules if - then (Fig. 1). This model may be intuitively verified and corrected by graphical presentations, as in Fig. 2. Then, a poly-optimisation is completed: either by survey of all possible solutions (Fig. 3) and reducing the set to the Pareto solutions (Figs. 4 - 6), or by mathematical optimization algorithms. In the example a first approach is adopted. The example is extended: a third non-fuzzy criterion is introduced (cost). (Figs. 7 - 9).Methodological conclusions are formulated, too.
    Źródło:
    Pomiary Automatyka Kontrola; 2011, R. 57, nr 9, 9; 1059-1062
    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
    Tytuł:
    Domains and Solutions of the Braess Paradox
    Autorzy:
    Nikolova, N. D.
    Armenski, I. S.
    Tenekedjieva, L.-T. K.
    Mednikarov, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/108705.pdf
    Data publikacji:
    2011
    Wydawca:
    Społeczna Akademia Nauk w Łodzi
    Tematy:
    Nash arbitration
    bargaining set
    absolute Pareto domain
    arctan-approximated utilities
    disagreement point controversy
    environmentally-friendly solutions
    Opis:
    The Braess paradox in road planning presents a case, where adding a new connection in a road network may lead to delayed arrival because of violation of the balance in the traffic flow. The paper discusses a generalization of this paradox. The initial, the asymmetrical, and the Pareto optimal domain are identified. Administrative solution with the participation of a controller is introduced, which aims to minimize the time of arrival, and thus has an environmental aspect. The preferences of the groups of passengers in the vehicles are modeled by an analytical arctan-approximated utility. Nash arbitration is employed to find an optimal solution that maximizes the Nash utility criterion. It is performed over the optimal Pareto domain that is outlined in four stages. A numerical example with 40 vehicles and five types of preferences of the passengers demonstrates the ideas.
    Źródło:
    Journal of Applied Computer Science Methods; 2011, 3 No. 2; 17-43
    1689-9636
    Pojawia się w:
    Journal of Applied Computer Science Methods
    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:
    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:
    Niching mechanisms in evolutionary computations
    Autorzy:
    Kowalczuk, Z.
    Białaszewski, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/908461.pdf
    Data publikacji:
    2006
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    algorytm genetyczny
    projektowanie inżynierskie
    obliczenia ewolucyjne
    obserwator detekcyjny
    niching
    ranking
    Pareto optimality
    genetic algorithms
    evolutionary computations
    multi-objective optimisation
    solutions diversity
    engineering designs
    detection observers
    Opis:
    Different types of niching can be used in genetic algorithms (GAs) or evolutionary computations (ECs) to sustain the diversity of the sought optimal solutions and to increase the effectiveness of evolutionary multi-objective optimization solvers. In this paper four schemes of niching are proposed, which are also considered in two versions with respect to the method of invoking: a continuous realization and a periodic one. The characteristics of these mechanisms are discussed, while as their performance and effectiveness are analyzed by considering exemplary multi-objective optimization tasks both of a synthetic and an engineering (FDI) design nature.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2006, 16, 1; 59-84
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-12 z 12

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