Publications: Johannes Varga

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2026

[1]Annoyance Modeling in Cooperative Personnel Scheduling
Christiane Attig, Johannes Varga, Tim Schrills, Tobias Rodemann, Günther Raidl
2026, AHFE Open Access.
[bibtex] [doi]
[2]Learning to Predict User Replies in Interactive Job Scheduling
Johannes Varga, Günther R. Raidl, Tobias Rodemann
Machine Learning, Optimization, and Data Science – LOD 2025, volume 16467 of LNCS, pages 271–285, 2026, Springer.
[bibtex] [doi]

2025

[1]Selecting User Queries in Interactive Job Scheduling
Johannes Varga, Günther R. Raidl, Tobias Rodemann
Computer Aided Systems Theory – EUROCAST 2024 (Alexis Quesada-Arencibia, Michael Affenzeller, Roberto Moreno-Díaz, eds.), volume 15172 of LNCS, pages 202–210, 2025, Springer.
[bibtex] [pdf]
[2]Tackling the Alpha-Domination Problem Heuristically
Enrico Iurlano, Johannes Varga, Günther R. Raidl
Computer Aided Systems Theory – EUROCAST 2024 (Alexis Quesada-Arencibia, Michael Affenzeller, Roberto Moreno-Díaz, eds.), volume 15172 of LNCS, pages 148–156, 2025, Springer.
[bibtex] [pdf] [doi]

2024

[1]Scheduling Jobs Using Queries to Interactively Learn Human Availability Times
Johannes Varga, Günther R. Raidl, Elina Rönnberg, Tobias Rodemann
Computers \& Operations Research, volume 167, pages 106648, 2024.
[bibtex] [doi]
[2]Mixed Integer Linear Programming Based Large Neighborhood Search Approaches for the Directed Feedback Vertex Set Problem
Maria Bresich, Johannes Varga, Günther R. Raidl, Steffen Limmer
Metaheuristics and Nature Inspired Computing (Bernabé Dorronsoro, Rachid Ellaia, El-Ghazali Talbi, eds.), pages 3–20, 2024, Springer.
[bibtex] [pdf] [doi]
[3]Speeding up Logic-Based Benders Decomposition by Strengthening Cuts with Graph Neural Networks
Johannes Varga, Emil Karlsson, Günther R. Raidl, Elina Rönnberg, Fredrik Lindsten, Tobias Rodemann
Machine Learning, Optimization, and Data Science. LOD 2023. (Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Umeton Renato, eds.), volume 14505 of lNCS, pages 24–38, 2024, Springer.
[bibtex] [pdf] [doi]

2023

[1]Large Neighborhood Search for Electric Vehicle Fleet Scheduling
Steffen Limmer, Johannes Varga, Günther R. Raidl
Energies, volume 16, number 12, 2023.
[bibtex] [pdf] [doi]
[2]An Evolutionary Approach for Scheduling a Fleet of Shared Electric Vehicles
Steffen Limmer, Johannes Varga, Günther R. Raidl
EvoApplications 2023: Applications of Evolutionary Computation (J. Correia, S. Smith, R. Qaddoura, eds.), volume 13989 of LNCS, pages 3-18, 2023, Springer.
[bibtex] [pdf] [doi]
[3]Interactive Job Scheduling with Partially Known Personnel Availabilities
Johannes Varga, Günther R. Raidl, Elina Rönnberg, Tobias Rodemann
OLA 2023: Optimization and Learning (B. Dorronsoro, F. Chicano, G. Danoy, E.-G. Talbi, eds.), volume 1824 of Communications in Computer and Information Science, pages 236–247, 2023, Springer.
[bibtex] [pdf] [doi]

2022

[1]Computational Methods for Scheduling the Charging and Assignment of an On-Site Shared Electric Vehicle Fleet
Johannes Varga, Günther R. Raidl, Steffen Limmer
Access, volume 10, 2022.
[bibtex] [pdf] [doi]

2021

[1]Computational Methods for Fleet Scheduling in E-Mobility
Johannes Varga
August 2021, Master's thesis, TU Wien, Institute of Logic and Computation.
Note: supervised by G. Raidl
[pdf]
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