activity
20182026
most citedResource-constrained multi-project scheduling with activity and time flexibility

47 citations · 163 across the 17 of their papers we have counts for

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12 papers · 1 filter

math.OC2026

Accelerated Benders decomposition for bi-objective mixed integer programming

Duleabom An, Chungmok Lee, Sophie N. Parragh

We investigate bi-objective mixed integer programming to which Benders decomposition can be applied, a widely used technique for exploiting problem structures in real-world applica…

math.OC2025

The Bi-objective Electric Autonomous Dial-a-Ride Problem

Yue Su, Sophie N. Parragh, Nicolas Dupin +1

The electric autonomous dial-a-ride problem (E-ADARP) introduces electric, autonomously driving vehicles and their unique requirements into the classic dial-a-ride problem, where p…

math.OC2025

An exact approach for the multi-depot electric vehicle scheduling problem

Xenia Haslinger, Elisabeth Gaar, Sophie N. Parragh

The "avoid - shift - improve" framework and the European Clean Vehicles Directive set the path for improving the efficiency and ultimately decarbonizing the transport sector. While…

math.OC2025

Progressive hedging for multi-stage stochastic lot sizing problems with setup carry-over under uncertain demand

Manuel Schlenkrich, Jean-François Cordeau, Sophie N. Parragh

We investigate multi-stage demand uncertainty for the multi-item multi-echelon capacitated lot sizing problem with setup carry-over. Considering a multi-stage decision framework he…

math.OC2023

Adaptive Improvements of Multi-Objective Branch and Bound

Julius Bauß, Sophie N. Parragh, Michael Stiglmayr

Branch and bound methods which are based on the principle "divide and conquer" are a well established solution approach in single-objective integer programming. In multi-objective…

math.OC2023★ 1 cited

Bi-objective risk-averse facility location using a subset-based representation of the conditional value-at-risk

Najmesadat Nazemi, Sophie N. Parragh, Walter J. Gutjahr

For many real-world decision-making problems subject to uncertainty, it may be essential to deal with multiple and often conflicting objectives while taking the decision-makers' ri…

math.OC2022★ 1 cited

A Branch-and-Price Algorithm for the Electric Autonomous Dial-A-Ride Problem

Yue Su, Nicolas Dupin, Sophie N. Parragh +1

The Electric Autonomous Dial-A-Ride Problem (E-ADARP) consists in scheduling a fleet of electric autonomous vehicles to provide ride-sharing services for customers that specify the…

math.OC2022★ 1 cited

A matheuristic for tri-objective binary integer programming

Duleabom An, Sophie N. Parragh, Markus Sinnl +1

Many real-world optimisation problems involve multiple objectives. When considered concurrently, they give rise to a set of optimal trade-off solutions, also known as efficient sol…

math.OC2021★ 2 cited

An outer approximation algorithm for multi-objective mixed-integer linear and non-linear programming

Fritz Bökler, Sophie N. Parragh, Markus Sinnl +1

In this paper, we present the first outer approximation algorithm for multi-objective mixed-integer linear programming problems with any number of objectives. The algorithm also wo…

math.OC2021

A LP relaxation based matheuristic for multi-objective integer programming

Duleabom An, Sophie N. Parragh, Markus Sinnl +1

Motivated by their success in the single-objective domain, we propose a very simple linear programming-based matheuristic for tri-objective binary integer programming. To tackle th…

math.OC2020★ 22 cited

Bi-objective facility location under uncertainty with an application in last-mile disaster relief

Najmesadat Nazemi, Sophie N. Parragh, Walter J. Gutjahr

Multiple and usually conflicting objectives subject to data uncertainty are main features in many real-world problems. Consequently, in practice, decision-makers need to understand…

math.OC2020

A branch-and-Benders-cut algorithm for a bi-objective stochastic facility location problem

Sophie N. Parragh, Fabien Tricoire, Walter Gutjahr

In many real-world optimization problems, more than one objective plays a role and input parameters are subject to uncertainty. In this paper, motivated by applications in disaster…