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Wyświetlanie 1-7 z 7
Tytuł:
Multicriteria models for fair resource allocation
Autorzy:
Ogryczak, W.
Powiązania:
https://bibliotekanauki.pl/articles/970408.pdf
Data publikacji:
2007
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
multiple criteria optimization
efficiency
fairness
equity
inequality measures
Opis:
Resource allocation problems are concerned with the allocation of limited resources among competing activities so as to achieve the best performances. However, in systems which serve many users there is a need to respect some fairness rules while looking for the overall efficiency. The so-called Max-Min Fairness is widely used to meet these goals. However, allocating the resource to optimize the worst performance may cause dramatic worsening of the overall system efficiency. Therefore, several other fair allocation schemes are being considered and analyzed. In this paper we show how the concepts of multiple criteria equitable optimization can effectively be used to generate various fair and efficient allocation schemes. First, we demonstrate how the scalar inequality measures can be consistently used in bicriteria models to search for fair and efficient allocations. Further, two alternative multiple criteria models equivalent to equitable optimization are introduced, thus allowing to generate a larger variety of fair and efficient resource allocation schemes.
Źródło:
Control and Cybernetics; 2007, 36, 2; 303-332
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Reference distribution based decision support platform
Autorzy:
Breja, K.
Ogryczak, W.
Powiązania:
https://bibliotekanauki.pl/articles/308085.pdf
Data publikacji:
2008
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
multiple criteria optimization
decision support systems
reference point method
reference distribution method
Opis:
There many decision problems where numerous partial achievement functions are considered impartially which makes the distribution of achievements more important than the assignment of several achievements to the specific criteria. Such models are generally related to the evaluation and optimization of various systems which serve many users where quality of service for every individual user defines the criteria. This applies to various technical systems, like to telecommunication ones among others, as well as to social systems. An example arises in location theory, where the clients of a system are entitled to equal treatment according to some community regulations. This paper presents an implementation of decision support framework for such problems. This platform is designed for multiple criteria problems analyzed with the reference distribution approach. Reference distribution approach is an extension of the reference point method.
Źródło:
Journal of Telecommunications and Information Technology; 2008, 3; 5-14
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On MILP Models for the OWA Optimization
Autorzy:
Ogryczak, W.
Olender, P.
Powiązania:
https://bibliotekanauki.pl/articles/309199.pdf
Data publikacji:
2012
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
location problem
mixed integer linear programming
multiple criteria
ordered weighted averaging (OWA)
Opis:
The problem of aggregating multiple outcomes to form overall objective functions is of considerable importance in many applications. The ordered weighted averaging (OWA) aggregation uses the weights assigned to the ordered values (i.e., to the largest value, the second largest and so on) rather than to the specific coordinates. It allows to evaluate solutions impartially, when distribution of outcomes is more important than assignments these outcomes to the specific criteria. This applies to systems with multiple independent users or agents, whose objectives correspond to the criteria. The ordering operator causes that the OWA optimization problem is nonlinear. Several MILP models have been developed for the OWA optimization. They are built with different numbers of binary variables and auxiliary constraints. In this paper we analyze and compare computational performances of the different MILP model formulations.
Źródło:
Journal of Telecommunications and Information Technology; 2012, 2; 5-12
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Network Dimensioning with Maximum Revenue Efficiency for the Fairness Index
Autorzy:
Zalewski, G.
Ogryczak, W.
Powiązania:
https://bibliotekanauki.pl/articles/307749.pdf
Data publikacji:
2016
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
allocation problem
decision problems
dimensioning networks
fair-optimization
linear programming
maximization
multi-criteria
Opis:
Network dimensioning is a specific kind of the resource allocation problem. One of the tasks in the network optimization is to maximize the total flow on given pairs of nodes (so-called demands or paths between source and target). The task can be more complicated when different revenue/profit gained from each unit of traffic stream allocated on each demand is taken into account. When the total revenue is maximized the problem of starvation of less attractive paths can appear. Therefore, it is important to include some fairness criteria to preserve connections between all the demands on a given degree of quality, also for the least attractive paths. In this paper, a new bicriteria ratio optimization method which takes into account both, the revenue and the fairness is proposed. Mathematical model is built in a form of linear programming. The solutions are analyzed with some statistical measures to evaluate their quality, with respect to fairness and efficiency. In particular, the Gini’s coefficient is used for this purpose.
Źródło:
Journal of Telecommunications and Information Technology; 2016, 4; 15-21
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison of Selected Fair-optimization Methods for Flow Maximization between Given Pairs of Nodes in Telecommunications Network
Autorzy:
Zalewski, G.
Ogryczak, W.
Powiązania:
https://bibliotekanauki.pl/articles/308874.pdf
Data publikacji:
2016
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
allocation problem
decision problems
fair-optimization
linear programming
multi-criteria
networks
ordered weighted averaging
OWA
reference point method
RPM
Opis:
Dimensioning of telecommunications networks requires the allocation of the ows (bandwidth) to given trac demands for the source-destination pairs of nodes. Unit ow allocated to the given demand is associated with revenue that may vary for dierent demands. Problem the decision-making basic algorithms to maximize the total revenue may lead to the solutions that are unacceptable, due to "starvation" or "locking" of some demand paths less attractive with respect to the total revenue. Therefore, the fair optimization approaches must be applied. In this paper, two fair optimization methods are analyzed: the method of ordered weighted average (OWA) and the reference point method (RPM). The study assumes that ows can be bifurcated thus realized in multiple path schemes. To implement optimization model the AMPL was used with general-purpose linear programming solvers. As an example of the data, the Polish backbone network was used.
Źródło:
Journal of Telecommunications and Information Technology; 2016, 3; 18-24
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On multi-criteria approaches to bandwidth allocation
Autorzy:
Ogryczak, W.
Wierzbicki, A.
Powiązania:
https://bibliotekanauki.pl/articles/970491.pdf
Data publikacji:
2004
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
optymalizacja wielokryterialna
efektywność
alokacja zasobów
multiple criteria optimization
efficiency
fairness
equity
reference point method
resource allocation
network design
elastic traffic
Opis:
Modern telecommunication networks face an increasing demand for services. Among these, an increasing number are services that can adapt to available bandwidth, and are therefore referred to as elastic traffic. Nominal network design for elastic traffic becomes increasingly significant. Typical resource allocation methods are concerned with the allocation of limited resources among competing activities so as to achieve the best overall performance of the system. In the network dimensioning problem for elastic traffic, one needs to allocate bandwidth to maximize service flows and simultaneously to reach a fair treatment of all the elastic services. Thus, both the overall efficiency (throughput) and the fairness (equity) among various services are important. In such applications, the so-called Max-Min Fairness (MMF) solution concept is widely used to formulate the resource allocation scheme. This approach guarantees fairness but may lead to significant losses in the overall throughput of the network. In this paper we show how the concepts of multiple criteria equitable optimization can be effectively used to generate various fair resource allocation schemes. We introduce a multiple criteria model ecluivalent to equitable optimization and we develop a corresponding reference point procedure to generate fair efficient bandwidth allocations. The procedure is tested on a sample network dimensioning problem and its abilities to model various preferences are demonstrated.
Źródło:
Control and Cybernetics; 2004, 33, 3; 427-448
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multiple criteria optimization and decisions under risk
Optymalizacja wielokryterialna a decyzje z ryzykiem
Autorzy:
Ogryczak, W.
Powiązania:
https://bibliotekanauki.pl/articles/206003.pdf
Data publikacji:
2002
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
decyzje z niepewnością
decyzje z ryzykiem
optymalizacja wielokryterialna
unikanie ryzyka
decisions under risk
decisions under uncertainty
multiple criteria optimization
risk aversion
Opis:
The mathematical background of multiple criteria optimization (MCO) is closely related to the theory of decisions under uncertainty. Most of the classical solution concepts commonly used in the MCO methodology have their origins in some approaches to handling uncertainty in decision analysis. Nevertheless, the MCO as a separate discipline has developed several advanced tools of interactive analysis leading to effective decision support techniques with successful applications. Progress made in the MCO tools raises a question of possible feedback to the decision making under risk. The paper shows how decisions under risk, and specifically the risk aversion preferences, can be modeled within the MCO methodology. This provides a methodological basis allowing for taking advantage of the interactive multiple criteria techniques for decision support under risk.
Podstawy matematyczne optymalizacji wielokryterialnej są blisko związane z teorią podejmowania decyzji w warunkach ryzyka. Większość klasycznych koncepcji rozwiązań zazwyczaj wykorzystywanych w metodach optymalizacji wielokryterialnej pochodzi z pewnych podejść uwzględniania niepewności w analizie decyzji. Jednakże, należy podkreślić, że optymalizacja wielokryterialna, jako niezależna dyscyplina, rozwinęła szereg zaawansowanych narzędzi analizy interaktywnej, prowadzących do efektywnych technik wspomagania decyzji, znajdujących rzeczywiste zastosowania. Postęp, jaki się dokonał w zakresie narzędzi wielokryterialnego podejmowania decyzji, stawia pytanie o ewentualne sprzężenie zwrotne w kierunku podejmowania decyzji w warunkach ryzyka. W artykule pokazano, jak decyzje z ryzykiem, a szczególnie preferencje co do unikania ryzyka, mogą być modelowane przy użyciu metodyki optymalizacji wielokryterialnej. W ten sposób stworzono podstawę metodyczną pozwalającą korzystać z interaktywnych technik wielokryterialnych we wspomaganiu decyzji z ryzykiem.
Źródło:
Control and Cybernetics; 2002, 31, 4; 975-1003
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-7 z 7

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