Fair Optimization and Networks: A Survey
Joint Authors
Nace, Dritan
Luss, Hanan
Tomaszewski, Artur
Pióro, Michał
Ogryczak, Wlodzimierz
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-25, 25 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-03
Country of Publication
Egypt
No. of Pages
25
Main Subjects
Abstract EN
Optimization models related to designing and operating complex systems are mainly focused on some efficiency metrics such as response time, queue length, throughput, and cost.
However, in systems which serve many entities there is also a need for respecting fairness: each system entity ought to be provided with an adequate share of the system’s services.
Still, due to system operations-dependant constraints, fair treatment of the entities does not directly imply that each of them is assigned equal amount of the services.
That leads to concepts of fair optimization expressed by the equitable models that represent inequality averse optimization rather than strict inequality minimization; a particular widely applied example of that concept is the so-called lexicographic maximin optimization (max-min fairness).
The fair optimization methodology delivers a variety of techniques to generate fair and efficient solutions.
This paper reviews fair optimization models and methods applied to systems that are based on some kind of network of connections and dependencies, especially, fair optimization methods for the location problems and for the resource allocation problems in communication networks.
American Psychological Association (APA)
Ogryczak, Wlodzimierz& Luss, Hanan& Pióro, Michał& Nace, Dritan& Tomaszewski, Artur. 2014. Fair Optimization and Networks: A Survey. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-25.
https://search.emarefa.net/detail/BIM-1039748
Modern Language Association (MLA)
Ogryczak, Wlodzimierz…[et al.]. Fair Optimization and Networks: A Survey. Journal of Applied Mathematics No. 2014 (2014), pp.1-25.
https://search.emarefa.net/detail/BIM-1039748
American Medical Association (AMA)
Ogryczak, Wlodzimierz& Luss, Hanan& Pióro, Michał& Nace, Dritan& Tomaszewski, Artur. Fair Optimization and Networks: A Survey. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-25.
https://search.emarefa.net/detail/BIM-1039748
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1039748