Inequity averse optimization in operational research
There are many applications across a broad range of business problem domains in which
equity is a concern and many well-known operational research (OR) problems such as …
equity is a concern and many well-known operational research (OR) problems such as …
Operations research (OR) in service industries: a comprehensive review
The share of gross domestic product from the service industry reflects the competitiveness of
a nation; the service industry in the USA accounts for around 80% of its gross domestic …
a nation; the service industry in the USA accounts for around 80% of its gross domestic …
Fairly extreme: Minimizing outages equitably
This paper focuses on the problem of minimizing the outages due to extreme events on the
power grid equitably among all customers of the grid. The paper presents two ways of …
power grid equitably among all customers of the grid. The paper presents two ways of …
Using ℓp-norms for fairness in combinatorial optimisation
The issue of fairness has received attention from researchers in many fields, including
combinatorial optimisation. One way to drive the solution toward fairness is to use a modified …
combinatorial optimisation. One way to drive the solution toward fairness is to use a modified …
[BOOK][B] Resource allocation and performance optimization in communication networks and the internet
L Tan - 2017 - taylorfrancis.com
This book provides a comprehensive introduction to the underlying theory, design
techniques and analytical results of wireless communication networks, focusing on the core …
techniques and analytical results of wireless communication networks, focusing on the core …
An approximation algorithm for the facility location problem with lexicographic minimax objective
We present a new approximation algorithm to the discrete facility location problem providing
solutions that are close to the lexicographic minimax optimum. The lexicographic minimax …
solutions that are close to the lexicographic minimax optimum. The lexicographic minimax …
Robust artificial neural networks and outlier detection. Technical report
Large outliers break down linear and nonlinear regression models. Robust regression
methods allow one to filter out the outliers when building a model. By replacing the …
methods allow one to filter out the outliers when building a model. By replacing the …
Levels of incomplete information in group decision models–a comprehensive simulation study
We present a comprehensive computational study on the effects of providing different forms
of incomplete preference information in additive group decision models. We consider …
of incomplete preference information in additive group decision models. We consider …
Two-Person Fair Division with Additive Valuations
In the literature, many desirable properties for allocations of indivisible goods have been
proposed, including envy-freeness, Pareto optimality, and maximization of either the total …
proposed, including envy-freeness, Pareto optimality, and maximization of either the total …
Image error-concealment via block-based bilateral filtering
We propose to use Block-based Bilateral Filter (BBF), which extends the classical Bilateral
Filter (BF) through operating in block-wise manner, to conceal missing image blocks in the …
Filter (BF) through operating in block-wise manner, to conceal missing image blocks in the …