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 "Robust optimization" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-21 z 21
    Tytuł:
    A computational study of approximation algorithms for a minmax resource allocation problem
    Autorzy:
    Przybysławski, B.
    Kasperski, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/406619.pdf
    Data publikacji:
    2012
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    discrete optimization
    robust optimization
    resource allocation
    approximation algorithms
    Opis:
    A basic resource allocation problem with uncertain costs has been discussed. The problem is to minimize the total cost of choosing exactly p items out of n available. The uncertain item costs are specified as a discrete scenario set and the minmax criterion is used to choose a solution. This problem is known to be NP-hard, but several approximation algorithms exist. The aim of this paper is to investigate the quality of the solutions returned by these approximation algorithms. According to the results obtained, the randomized algorithms described are fast and output solutions of good quality, even if the problem size is large.
    Źródło:
    Operations Research and Decisions; 2012, 22, 2; 35-43
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Perturbation algorithm for a minimax regret minimum spanning tree problem
    Autorzy:
    Makuchowski, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/406452.pdf
    Data publikacji:
    2014
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    discrete optimization
    robust optimization
    perturbation algorithms
    minimax regret
    Opis:
    The problem of finding a robust spanning tree has been analysed. The problem consists of determining a minimum spanning tree of a graph with uncertain edge costs. We should determine a spanning tree that minimizes the difference in costs between the tree selected and the optimal tree. While doing this, all possible realizations of the edge costs should be taken into account. This issue belongs to the class of NP-hard problems. In this paper, an algorithm based on the cost perturbation method and adapted to the analysed problem has been proposed. The paper also contains the results of numerical experiments testing the effectiveness of the proposed algorithm and compares it with algorithms known in the literature. The research is based on a large number of various test examples taken from the literature.
    Źródło:
    Operations Research and Decisions; 2014, 24, 1; 37-49
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust Optimization Model for Spatial Land-Use Allocation Problem in Jatinangor Subdistrict, Indonesia
    Autorzy:
    Romhadhoni, Putri
    Chaerani, Diah
    Ruchjana, Budi Nurani
    Powiązania:
    https://bibliotekanauki.pl/articles/1031447.pdf
    Data publikacji:
    2020
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Jatinangor Subdistrict
    Land-use Allocation
    Robust Optimization
    Spatial Optimization
    Opis:
    Land-use planning become an important thing to do because some types of land-use can have an impact to environment and life quality. Land-use planning is generally an activity that involves the allocation of activities in a particular land. Spatial Optimization can be applied in land-use planning activity. This research aims to make Robust Optimization model for spatial land-use allocation problem in Jatinangor. Optimization model for land-use allocation problem aims to determine the percentage of land-use changes that can maximize comprehensive index and compactness index. In land-use planning, there are several uncertainty factors. Therefore, it’s needed an approach that can handle uncertainty factor, the approach used in this research is Robust Optimization. The result of Robust Optimization Model for land-use allocation problem which is solved by the box uncertainty set approach is a computationally tractable optimization model.
    Źródło:
    World Scientific News; 2020, 142; 44-59
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Adjustable Robust Counterpart Optimization Model for Maximum Flow Problems with Box Uncertainty
    Autorzy:
    Agustini, Rahmah Arie
    Chaerani, Diah
    Hertini, Elis
    Powiązania:
    https://bibliotekanauki.pl/articles/1031851.pdf
    Data publikacji:
    2020
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Adjustable Robust Counterpart
    Linear Programming
    Maximum flow problem
    Robust Optimization
    Opis:
    The maximum flow problem is an optimization problem that aims to find the maximum flow value on a network. This problem can be solved by using Linear Programming. The obstacle that is often faced in determining the maximum flow is the magnitude of the capacity of each side of the network can often be changed due to certain factors. Therefore, we need one of the optimization fields that can calculate the uncertainty factor. The field of optimization carried out to overcome these uncertainties is Robust Optimization. This paper discusses the Optimization model for the maximum flow problem by calculating the uncertainties on parameters and adjustable variables using the Adjustable Robust Counterpart (ARC) Optimization model. In this ARC Optimization model it is assumed that there are indeterminate parameters in the form of side capacity in a network and an uncertain decision variable that is the amount of flow from the destination point (sink) to the source point (source). Calculation results from numerical simulations show that the ARC Optimization model provides the maximum number of flows in a network with a set of box uncertainty. Numerical simulations were obtained with Maple software.
    Źródło:
    World Scientific News; 2020, 141; 91-102
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Uncertain Semivariogram Model using Robust Optimization for Application of Lead Pollutant Data
    Autorzy:
    Azizah, Annisa
    Ruchjana, Budi Nurani
    Chaerani, Diah
    Powiązania:
    https://bibliotekanauki.pl/articles/1030126.pdf
    Data publikacji:
    2020
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Lead Pollutan
    Linear Programming
    Robust Optimization
    Semivariogram
    Software R
    Opis:
    Semivariogram is a half variance diagram of the difference between observations at the location s_i with another location that is as far as h units of distance. Semivariogram is used to describe the correlation of observation sorted by location. This research discusses the theoretical Semivariogram for the Spherical, Gaussian, and Exponential Semivariogram models through the Linear Programming approach. Next, the Semivariogram parameter estimation is studied with the assumption that there are data uncertainties, called the Uncertain Semivariogram. The method used to overcome the uncertainty data is Robust Optimization. The Uncertain Semivariogram using Robust Optimization are solved using the box and ellipsoidal uncertainty set approach. The calculation of the application of the model was carried out using the R software. For the case study, the application of the model used secondary data of Lead pollutant data in the Meuse River floodplains on the borders of France and the Netherlands at 164 locations. Based on the calculation results, the Exponential theoretical Semivariogram model is obtained as the best Semivariogram model, because it has a minimum SSE. Furthermore, the application of the Uncertain Semivariogram model using Robust Optimization on the Semivariogram Exponential model of Lead pollutant data is carried out using the box and ellipsoidal uncertainty set approach which is to obtain computationally tractable results.
    Źródło:
    World Scientific News; 2020, 143; 155-169
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust Optimization Model for Truss Topology Design Problem Using Convex Programming CVX
    Autorzy:
    Shafira, Tri
    Chaerani, Diah
    Lesmana, Eman
    Powiązania:
    https://bibliotekanauki.pl/articles/1031207.pdf
    Data publikacji:
    2020
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    CVX
    Robust optimization
    Truss Topology Design
    load
    semidefinite programming
    uncertainty
    Opis:
    Topology optimization is one of the optimization applications in the field of infrastructure or truss structure design. Aiming to find the optimal connectivity bar by determining the best node leads to minimizing compliance. Robust optimization is used to conquer the uncertainty of external load parameters that are continuous and convex. The Robust Topology Optimization model uses semidefinite programming with an ellipsoidal uncertainty set. To solve the model, we use a modeling system called CVX, CVX uses the object-oriented features of MATLAB to turn it into an optimization modelling language: optimization variables can be declared and constraints and objectives specified using natural MATLAB syntax. The results of numerical simulations using CVX in the Robust Truss Topology Design (RTTD) model obtained an optimal robust solution, where the truss is resistant to load uncertainty for single-load or multi-load.
    Źródło:
    World Scientific News; 2020, 148; 27-45
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The art and science of modeling decision-making under severe uncertainty
    Autorzy:
    Sniedovich, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/375963.pdf
    Data publikacji:
    2007
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    mathematical modeling
    severe uncertainty
    maximin
    worst-case analysis
    robust optimization
    info-gap
    Opis:
    For obvious reasons, models for decision-making under severe uncertainty are austere. Simply put, there is precious little to work with under these conditions. This fact highlights the great importance of utilizing in such cases the ingredients of the mathematical model to the fullest extent, which in turn brings under the spotlight the art of mathematical modeling. In this discussion we examine some of the subtle considerations that are called for in the mathematical modeling of decision-making under severe uncertainty in general, and worst-case analysis in particular. As a case study we discuss the lessons learnt on this front from the Info-Gap experience.
    Źródło:
    Decision Making in Manufacturing and Services; 2007, 1, 1-2; 111-136
    1896-8325
    2300-7087
    Pojawia się w:
    Decision Making in Manufacturing and Services
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust Optimization Model for Location Transportation Problems with Ellipsoidal Uncertainty Set
    Autorzy:
    Pribadi, Diantiny Mariam
    Chaerani, Diah
    Dewanto, Stanley P.
    Supian, Sudradjat
    Subiyanto, Subiyanto
    Powiązania:
    https://bibliotekanauki.pl/articles/1062875.pdf
    Data publikacji:
    2019
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Ellipsoidal uncertainty set
    Location transportation problem
    Mixed integer linear problem
    Robust Counterpart
    Robust Optimization
    Uncertainty demand
    Opis:
    The location transportation problem is a combination of location, routing and inventory facilities. The problem of transportation locations consists of strategic decisions and operational decisions. Strategy decisions consist of location and facility capacity to meet demand, while operational decisions consist of final production and optimal distribution. However, sometimes there is uncertainty in demand, which influences operational decisions. Robust Optimization is a method for solving problems that are affected by uncertainty in data. This study aims to apply single-stage with an ellipsoid approach to the problem of transportation locations with uncertainty in demand. Robust optimization through the ellipsoidal uncertainty set approach provides costs for strategic and operational decisions that tend to remain for each production period. As for the optimization model, the influence of uncertainty in demand can affect the uncertainty of strategic and operational costs.
    Źródło:
    World Scientific News; 2019, 127, 3; 296-310
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Charakterystyka optymalizacji odpornej problemu najkrótszej ścieżki w obszarach zurbanizowanych
    Analysis of robust optimization for shortest path problem in urban areas
    Autorzy:
    Kubek, Daniel
    Powiązania:
    https://bibliotekanauki.pl/articles/587302.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Ekonomiczny w Katowicach
    Tematy:
    Elastyczne okna czasowe
    Optymalizacja odporna
    Problem najkrótszej ścieżki
    Robust optimization
    Shortest path problem
    Soft time windows
    Opis:
    Niniejszy artykuł przedstawia problematykę wyznaczania ścieżek dla pojazdów poruszających się w sieci drogowej miasta. Ścieżki te zostały wyznaczone w oparciu o optymalizację odporną, która uwzględnia możliwość wystąpienia wahań od wartości oczekiwanej czasów przejazdu na odcinkach sieci drogowej. Poruszone zagadnienie popularnie znane jest jako problem najkrótszej ścieżki z niepewnymi czasami przejazdów (robust shortest path problem). Odporny model matematyczny problemu najkrótszej ścieżki został rozwiązany za pomocą metody, która zamienia oryginalny problem na deterministyczny odpowiednik programowania liniowego. Odpowiednik ten jest uzyskiwany przez przyjęcie założenia, że zmienna decyzyjna jest funkcją afiniczną, która zależy od realizacji niepewności danych. Niepewność jest zdefiniowana na podstawie odchylenia standardowego czasu przejazdu na poszczególnym odcinku. Parametry te są wykorzystane do opisu rodziny rozkładów prawdopodobieństwa, zgodnie z którymi wartość niepewności danych będzie realizowana. Zalety stosowania optymalizacji odpornej oraz charakterystyka problemu zostały zaprezentowane na rzeczywistej sieci drogowej miasta Krakowa.
    The paper addresses the shortest path problem for vehicles traversing the road network of the city. The paths have been determinate based on the robust optimization theory, which take into account the data uncertainty. The problem is known as robust shortest path problem. Formulation of robust mathematical model is solved by transforming the robust model into a deterministic counterpart. Deterministic counterpart is obtained by assumption that variables are affinely dependent on primitives uncertainty. Uncertainty set is defined as affine function of standard deviation of sections travel time. These parameters are used to describe a family of probability distributions under which the value of the uncertainty of the data will be implemented. The advantages, analysis and the characteristics of robust approach are presented on a real example – the road network of Cracow.
    Źródło:
    Studia Ekonomiczne; 2015, 235; 132-143
    2083-8611
    Pojawia się w:
    Studia Ekonomiczne
    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:
    Robust bi-level optimization for an opportunistic supply chain network design problem in an uncertain and risky environment
    Autorzy:
    Golpîra, H.
    Powiązania:
    https://bibliotekanauki.pl/articles/406601.pdf
    Data publikacji:
    2017
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    supply chain management
    production-distribution planning
    conditional value at risk
    bilevel programming
    robust optimization
    KKT conditions
    zarządzanie łańcuchem dostaw
    planowanie produkcji
    planowanie dystrybucji
    optymalizacja
    warunki KKT
    Opis:
    This paper introduces the problem of designing a single-product supply chain network in an agile manufacturing setting under a vendor managed inventory (VMI) strategy to seize a new market oppor-tunity. The problem addresses the level of risk aversion of the retailer when dealing with the uncertainty of market related information through a conditional value at risk (CVaR) approach. This approach leads to a bilevel programming problem. The Karush–Kuhn–Tucker (KKT) conditions are employed to trans-form the model into a single-level, mixed-integer linear programming problem by considering some relaxations. Since realizations of imprecisely known parameters are the only information available, a data-driven approach is employed as a suitable, more practical, methodology of avoiding distribu-tional assumptions. Finally, the effectiveness of the proposed model is demonstrated through a numer-ical example
    Źródło:
    Operations Research and Decisions; 2017, 27, 1; 21-41
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust control design of a smart building structure
    Projektowanie sterowania odpornego w "inteligentnych" konstrukcjach budowlanych
    Autorzy:
    Marinova, D. G.
    Stavroulakis, G. E.
    Powiązania:
    https://bibliotekanauki.pl/articles/280816.pdf
    Data publikacji:
    2007
    Wydawca:
    Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
    Tematy:
    robust control
    structural controI
    applied optimization
    uncertainty system
    Opis:
    This paper presents an application of a design method of robust H... optimal controI to a structural controI system. A dynamic model for a building structure under earthquake and wind excitations is considered. Structured uncertainties are introduced to reflect errors between the model and the reality. To obtain the best possible performance in the face of uncertainties, rob ust H... optimal controI for the active controI structure is used. Relevant numerical techniques, which have been implemented wit h the help of MATLAB routines, are applied to solve the formulated structural contral problem. By proper selection of the weight factor, the seismic response of the building structure can be reduced considerably. Numerical results show high robust performance of the proposed method.
    Praca przedstawia aplikację metody projektowania optymalnego sterowania odpornego H... dla celów konstrukcyjnych. Rozważono dynamiczny model konstrukcji budowlanej poddanej obciążeniu trzęsieniem ziemi oraz wiatrem. Wprowadzono niepewność strukturalną do modelu, aby odzwierciedlić błędy wynikające z różnic między modelem i budynkiem rzeczywistym. Do uzyskania najlepszego działania układu sterowania w obecności założonego poziomu niepewności parametrów użyto w analizowanej aktywnej konstrukcji tzw. sterowania odpornego H... . W rozwiązywaniu problemu sterowania zastosowano symulacje numeryczne wspomagane gotowymi procedurami zaczerpniętymi ze środowiska MATLAB. Poprzez odpowiedni dobór współczynnika wagi uzyskano znaczący efekt redukcji wrażliwości sejsmicznej budynku. Wyniki badań pokazały wysoką odporność zaproponowanego układu sterowania.
    Źródło:
    Journal of Theoretical and Applied Mechanics; 2007, 45, 1; 73-90
    1429-2955
    Pojawia się w:
    Journal of Theoretical and Applied Mechanics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Iterative learning control — monotonicity and optimization
    Autorzy:
    Owens, D. H.
    Daley, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/907916.pdf
    Data publikacji:
    2008
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    optymalizacja
    monotoniczność
    sterowanie odporne
    optimization
    monotonicity
    robust control
    Opis:
    The area if Iterative Learning Control (ILC) has great potential for applications to systems with a naturally repetitive action where the transfer of data from repetition (trial or iteration) can lead to substantial improvements in tracking performance. There are several serious issues arising from the "2D" structure of ILC and a number of new problems requiring new ways of thinking and design. This paper introduces some of these issues from the point of view of the research group at Sheffield University and concentrates on linear systems and the potential for the use of optimization methods and switching strategies to achieve effective control.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2008, 18, 3; 279-293
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Interactive evolutionary multiobjective optimization driven by robust ordinal regression
    Autorzy:
    Branke, J.
    Greco, S.
    Słowiński, R.
    Zielniewicz, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/200702.pdf
    Data publikacji:
    2010
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    evolutionary multiobjective optimization
    interactive procedure
    robust ordinal regression
    Opis:
    This paper presents the Necessary-preference-enhanced Evolutionary Multiobjective Optimizer (NEMO), which combines an evolutionary multiobjective optimization with robust ordinal regression within an interactive procedure. In the course of NEMO, the decision maker is asked to express preferences by simply comparing some pairs of solutions in the current population. The whole set of additive value functions compatible with this preference information is used within a properly modified version of the evolutionary multiobjective optimization technique NSGA-II in order to focus the search towards solutions satisfying the preferences of the decision maker. This allows to speed up convergence to the most preferred region of the Pareto-front.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2010, 58, 3; 347-358
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Generalized ordered linear regression with regularization
    Autorzy:
    Łęski, J.
    Henzel, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/201591.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    linear regression
    IRLS
    OWA
    conjugate gradient optimization
    robust methods
    Opis:
    Linear regression analysis has become a fundamental tool in experimental sciences. We propose a new method for parameter estimation in linear models. The 'Generalized Ordered Linear Regression with Regularization' (GOLRR) uses various loss functions (including the o-insensitive ones), ordered weighted averaging of the residuals, and regularization. The algorithm consists in solving a sequence of weighted quadratic minimization problems where the weights used for the next iteration depend not only on the values but also on the order of the model residuals obtained for the current iteration. Such regression problem may be transformed into the iterative reweighted least squares scenario. The conjugate gradient algorithm is used to minimize the proposed criterion function. Finally, numerical examples are given to demonstrate the validity of the method proposed.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2012, 60, 3; 481-489
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Ply thickness tolerances in stacking sequence optimization of multilayered laminate plates
    Autorzy:
    Latalski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/279654.pdf
    Data publikacji:
    2013
    Wydawca:
    Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
    Tematy:
    laminate composite structures
    optimization
    manufacturing tolerances
    robust design
    structural stability
    Opis:
    The paper deals with the impact of manufacturing tolerances of plies thicknesses on optimal design of multi-layered laminated plates in compression. It is assumed that the considered tolerances are represented by the maximum acceptable deviation of every individual ply thickness from its nominal design value. The robustness of the optimum is achieved diminishing the buckling load amplitude factor by the product of arbitrary assumed tolerances and appropriate sensitivities. The discussed optimization problem is solved numerically by the direct enumeration method. The proposed approach is illustrated with examples of the rectangular multi-layered laminated plate design under uni- and biaxial compression. The achieved results emphasise the robustness of the proposed method compared to the approaches with ignored tolerances.
    Źródło:
    Journal of Theoretical and Applied Mechanics; 2013, 51, 4; 1039-1052
    1429-2955
    Pojawia się w:
    Journal of Theoretical and Applied Mechanics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Performance of robust portfolio optimization in crisis periods
    Autorzy:
    Balcilar, M.
    Ozun, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/205665.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    robust control procedures
    RobustRisk
    portfolio optimization
    Monte Carlo simulation
    global crisis
    Opis:
    We examin empirical performances of two alterna- tive robust optimization models, namely the worst-case conditional value-at-risk (worst-case CVaR) model and the nominal conditional value-at-risk (CVaR) model in crisis periods. Both models are based on historical value-at-risk methodology. These performances are compared by using a portfolio constructed on the basis of daily clos- ing values of different stock indices in developed markets using data from 1990 to 2013. An empirical evidence is produced with Ro- bustRisk software application. Both a Monte-Carlo simulation and an out-of-sample test show that robust optimization with worst-case CVaR model outperforms the nominal CVaR model in the crisis peri- ods. However, the trade-off between model misspecification risk and return maximization depending on the market movements should be optimized in a robust model selection.
    Źródło:
    Control and Cybernetics; 2013, 42, 4; 855-871
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Preference-Driven Multiobjective Optimization Using Robust Ordinal Regression for Cone Contraction
    Autorzy:
    Kadziński, Miłosz
    Słowiński, Roman
    Powiązania:
    https://bibliotekanauki.pl/articles/578592.pdf
    Data publikacji:
    2013
    Wydawca:
    Uniwersytet Ekonomiczny w Katowicach
    Tematy:
    Odporne metody statystyczne
    Optymalizacja wielokryterialna
    Podejmowanie decyzji
    Decision making
    Multiple criteria optimization
    Robust statistical methods
    Opis:
    We present a new interactive procedure for multiobjective optimization problems (MOO), which involves robust ordinal regression in contraction of the preference cone in the objective space. The most preferred solution is achieved by means of a systematic dialogue with the decision maker (DM) during which (s)he species pairwise comparisons of some non-dominated solutions from a current sample. The origin of the cone is located at a reference point chosen by the DM. It is formed by all directions of isoquants of the achievement scalarizing functions compatible with the pairwise comparisons of non-dominated solutions provided by the DM. The compatibility is assured by robust ordinal regression, i.e. the DM's statements concerning strict or weak preference relations for pairs of compared solutions are represented by all compatible sets of weights of the achievement scalarizing function. In successive iterations, when new pairwise comparisons of solutions are provided, the cone is contracted and gradually focused on a subregion of the Pareto optimal set of greatest interest. The DM is allowed to change the reference point and the set of pairwise comparisons at any stage of the method. Such preference information does not need much cognitive e ort on the part of the DM. The phases of preference elicitation and cone contraction alternate until the DM nds at least one satisfactory solution, or there is no such solution for the current problem setting.
    Źródło:
    Multiple Criteria Decision Making; 2013, 8; 67-83
    2084-1531
    Pojawia się w:
    Multiple Criteria Decision Making
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust H∞ control for a class of uncertain neutral systems with both state and control input time-varying delays via a unified LMI optimization approach
    Autorzy:
    Chen, J. D.
    Yang, C. D.
    Lin, K. J.
    Lien, C. H.
    Powiązania:
    https://bibliotekanauki.pl/articles/970609.pdf
    Data publikacji:
    2008
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    robust H[infinity] control
    neutral systems
    unified LMI approach
    convex optimization approach
    delay-dependent criterion
    Opis:
    The robust H∞ control problem is considered for a class of uncertain neutral system involving both state and control input time-varying delays. The uncertainties under consideration are nonlinear time-varying parameter perturbations. The methodology is based on the Lyapunov functional combined with a unified LMI approach, and a new delay-dependent criterion is proposed to guarantee the stabilization and disturbance attenuation of systems. Moreover, a convex optimization approach is used to solve the robust H∞ control disturbance attenuation problem. Finally, a numerical example is illustrated to show the validity of this paper. The simulation results reveal significant improvement over the recent results.
    Źródło:
    Control and Cybernetics; 2008, 37, 3; 517-530
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Loopshaping of motor torque controller
    Autorzy:
    Sieklucki, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/229950.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    electric drive
    II2 controller
    robust control
    stability region
    parametric optimization
    nonlinear programming
    waterbed effect
    weighted sensitivity
    modulus criterion
    Opis:
    The controller synthesis problem of the motor torque is presented. The tuning of the II2 controller parameters of the electromagnetic motor torque is introduced. The results are obtained by applying the weighted sensitivity method (nominal performance) which is the optimization in H∞ space. The waterbed effect for some weighting functions is presented. The results, which are obtained by a parametric optimization (nonlinear programming), are analysed by the calculations of the stability margins.
    Źródło:
    Archives of Control Sciences; 2013, 23, 2; 213-228
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Rodzajnikowy dobór struktury kryteriów w zadaniach wielokryterialnej optymalizacji systemów decyzyjnych
    Gender criteria structure selection in multi-objective optimization of decision systems
    Autorzy:
    Kowalczuk, Z.
    Białaszewski, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/156879.pdf
    Data publikacji:
    2011
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    wielokryterialna optymalizacja
    algorytmy genetyczne
    diagnostyka
    obserwatory detekcyjne
    odporne układy sterowania
    multi-objective optimization
    genetic algorithms
    diagnostic
    detection observers
    robust control systems
    Opis:
    Praca poświęcona jest problemowi doboru kryteriów i ich klasyfikacji na grupy rodzajnikowe (warianty) w zadaniach wielokryterialnej optymalizacji systemów decyzyjnych, które związane są m.in. z projektowaniem systemów diagnostyki oraz układów sterowania. Celem naszego podejścia jest efektywne poszukiwanie rozwiązań w zadaniach optymalizacyjnych wyrażonych za pomocą wielu kryteriów, gdzie projektant spotyka się z zagadnieniem Pareto-optymalności, albo zmuszany jest do stosowania klasycznych metod optymalizacji - zwykle silnie upraszczających postawiony problem polioptymalizacji. W przypadku podejścia populacyjnego prezentowana metoda może w istotny sposób ułatwić projektantowi ostateczną ocenę uzyskanych rozwiązań. Skuteczność rozważanej metodologii ilustrują przykłady konstruowania liniowych obserwatorów stanu.
    The paper gives an account of research results concerning a project of creating a fully-autonomous robotic decision-making system able to interact with its environment, and based on a mathematical model of human cognitive-behavioural psychology with some elements of personality psychology included. The basic idea of this paper is focused on the concept of possible errors in an intelligent robot control system. The system is a composed result of constructing an Intelligent Decision-making System (IDS) based on several recently developed ideas concerning an interactive cognitive-behavioural organism (Artificial Intelligence and Soft Computing, 2010), a fundamental model of human psychology and an IDS system (MMAR, 2010; Applied Mathematics and Computer Science, 2011) for controlling autonomous robots. Principal notions of IDS (Data-processing system based on cognitive psychology, along with the locations of possible errors), conceptions of discovery (object) and (long-time) memory are introduced. Then the heart of IDS, a personality (emotional) system which consists of systems of emotions and needs (based on the Maslow's theory/pyramid and a fuzzy model of needs), is presented. Furthermore, the paper shows what kind of errors can appear and what are their locations in IDS. Methods of avoiding these errors are also indicated.
    Źródło:
    Pomiary Automatyka Kontrola; 2011, R. 57, nr 7, 7; 810-813
    0032-4140
    Pojawia się w:
    Pomiary Automatyka Kontrola
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-21 z 21

      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