In congestion games, taxes achieve optimal approximation

D Paccagnan, M Gairing - Proceedings of the 22nd ACM Conference on …, 2021 - dl.acm.org
We consider the problem of minimizing social cost in atomic congestion games and show,
perhaps surprisingly, that efficiently computed taxation mechanisms yield the same …

Search for a moving target in a competitive environment

B Duvocelle, J Flesch, HM Shi, D Vermeulen - International Journal of …, 2021 - Springer
We consider a discrete-time dynamic search game in which a number of players compete to
find an invisible object that is moving according to a time-varying Markov chain. We examine …

In Congestion Games, Taxes Achieve Optimal Approximation

M Gairing, D Paccagnan - Operations Research, 2023 - livrepository.liverpool.ac.uk
The Power of Traffic Tolls The paper “In Congestion Games, Taxes Achieve Optimal
Approximation” by Paccagnan and Gairing investigates the power and limitations of taxes as …

Approximate separable multichoice optimization over monotone systems

M Koutecký, A Levin, SM Meesum, S Onn - Discrete Optimization, 2022 - Elsevier
With each separable optimization problem over a given set of vectors is associated its
multichoice counterpart which involves choosing n rather than one solutions from the set so …

[图书][B] Algorithm and mechanism design for congested networks

A Bjelde - 2018 - search.proquest.com
We are tackling the problem of reducing high congestion in networks from a mathematical
point of view. First, we consider resource allocation problems where a set of commodities …

Approximation Algorithms in Allocation, Scheduling and Pricing

T Oosterwijk - 2018 - cris.maastrichtuniversity.nl
This dissertation examines four optimisation problems. The first chapter examines the
optimisation of network usage to prevent traffic congestion and internet data issues. The …