Publications: Johannes Varga

2025

Tackling the Alpha-Domination Problem Heuristically

Iurlano, Enrico, Varga, Johannes, Raidl, Günther R.

Computer Aided Systems Theory -- EUROCAST 2024 (Quesada-Arencibia, Alexis and Affenzeller, Michael and Moreno-D\'iaz, Roberto), volume 15172 of LNCS, pages 148-156, 2025, Springer.

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2024

Mixed Integer Linear Programming Based Large Neighborhood Search Approaches for the Directed Feedback Vertex Set Problem

Bresich, Maria, Varga, Johannes, Raidl, Günther R., Limmer, Steffen

Metaheuristics and Nature Inspired Computing (Dorronsoro, Bernab\'e and Ellaia, Rachid and Talbi, El-Ghazali), pages 3-20, 2024, Springer.

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Selecting User Queries in Interactive Job Scheduling

Varga, Johannes, Raidl, Günther R., Todemann, Tobias

19th International Conference on Computer Aided Systems Theory, 2024, Springer.
Note: to appear

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Speeding up Logic-Based Benders Decomposition by Strengthening Cuts with Graph Neural Networks

Varga, Johannes, Karlsson, Emil, Raidl, Günther R., Rönnberg, Elina, Lindsten, Fredrik, Rodemann, Tobias

Machine Learning, Optimization, and Data Science. LOD 2023. (Nicosia, Giuseppe and Ojha, Varun and La Malfa, Emanuele and La Malfa, Gabriele and Pardalos, Panos M. and Umeton Renato), volume 14505 of lNCS, pages 24-38, 2024, Springer.

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Scheduling Jobs Using Queries to Interactively Learn Human Availability Times

Varga, Johannes, Raidl, Günther R., Rönnberg, Elina, Rodemann, Tobias

Computers \& Operations Research, 2024.

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2023

An Evolutionary Approach for Scheduling a Fleet of Shared Electric Vehicles

Limmer, Steffen, Varga, Johannes, Raidl, Günther R.

EvoApplications 2023: Applications of Evolutionary Computation (Correia, J. and Smith, S. and Qaddoura, R.), volume 13989 of LNCS, pages 3-18, 2023, Springer.

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Large Neighborhood Search for Electric Vehicle Fleet Scheduling

Limmer, Steffen, Varga, Johannes, Raidl, Günther R.

Energies, volume 16, number 12, 2023.

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Interactive Job Scheduling with Partially Known Personnel Availabilities

Varga, Johannes, Raidl, Günther R., Rönnberg, Elina, Rodemann, Tobias

OLA 2023: Optimization and Learning (Dorronsoro, B. and Chicano, F. and Danoy, G. and Talbi, E.-G.), volume 1824 of Communications in Computer and Information Science, pages 236-247, 2023, Springer.

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