activity
20152022
most citedDynamic programming algorithms, efficient solution of the LP-relaxation and approximation schemes for the Penalized Knapsack Problem

2 citations · 4 across the 4 of their papers we have counts for

collaborators

6 papers

cs.MA20221 cited

Allocation of Indivisible Items with Individual Preference Graphs

Nina Chiarelli, Clément Dallard, Andreas Darmann +5

This paper studies the allocation of indivisible items to agents, when each agent's preferences are expressed by means of a directed acyclic graph. The vertices of each preference…

cs.DS2021

Optimally rescheduling jobs with a LIFO buffer

Gaia Nicosia, Andrea Pacifici, Ulrich Pferschy +2

This paper considers single-machine scheduling problems in which a given solution, i.e. an ordered set of jobs, has to be improved as much as possible by re-sequencing the jobs. Th…

cs.DS2018

Approximating the Incremental Knapsack Problem

Federico Della Croce, Ulrich Pferschy, Rosario Scatamacchia

We consider the 0-1 Incremental Knapsack Problem (IKP) where the capacity grows over time periods and if an item is placed in the knapsack in a certain period, it cannot be removed…

cs.DM2018

On a Stackelberg Subset Sum Game

Ulrich Pferschy, Gaia Nicosia, Andrea Pacifici

This contribution deals with a two-level discrete decision problem, a so-called Stackelberg strategic game: A Subset Sum setting is addressed with a set of items with given int…

cs.DS20172 cited

Dynamic programming algorithms, efficient solution of the LP-relaxation and approximation schemes for the Penalized Knapsack Problem

Federico Della Croce, Ulrich Pferschy, Rosario Scatamacchia

We consider the 0-1 Penalized Knapsack Problem (PKP). Each item has a profit, a weight and a penalty and the goal is to maximize the sum of the profits minus the greatest penalty v…

cs.DM20151 cited

On the shortest path game: extended version

Andreas Darmann, Ulrich Pferschy, Joachim Schauer

In this work we address a game theoretic variant of the shortest path problem, in which two decision makers (players) move together along the edges of a graph from a given starting…