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A Construct Merge Solve and Adapt Heuristic for Least Cost Influence Maximization

Proceedings of the Metaheuristics International Conference – MIC 2026, 2026, Springer.
Note: To appear

Felix Odelga, Enrico Iurlano, Günther Raidl

A Denoising Diffusion Adaptive Search for the Alpha-Domination Problem on Social Graphs

Evolutionary Computation in Combinatorial Optimization (Martin S. Krejca, Nelishia Pillay, eds.), volume 16522 of LNCS, pages 133–149, 2026, Springer.

Martin Wustinger, Enrico Iurlano, Günther Raidl

A Denoising Diffusion-Based Evolutionary Algorithm Framework: Application to the Maximum Independent Set Problem

Machine Learning, Optimization, and Data Science – LOD 2025, volume 16467 of LNCS, pages 1–16, 2026, Springer.

Joan Salvà Soler, Günther Raidl

A Fixed-Parameter Algorithm for Extending Upward Planar Drawings

34th International Symposium on Graph Drawing and Network Visualization, GD 2026, 2026, Schloss Dagstuhl - Leibniz-Zentrum für Informatik.
Note: to appear

Vera Chekan, Robert Ganian, Viktoriia Korchemna

A Parameterized-Complexity Framework for Finding Local Optima

17th Innovations in Theoretical Computer Science Conference, ITCS 2026, Bocconi University, Milan, Italy, January 27-30, 2026 (Shubhangi Saraf, ed.), volume 362 of LIPIcs, pages 66:1–66:20, 2026, Schloss Dagstuhl - Leibniz-Zentrum für Informatik.

Robert Ganian, Phuc Hung Hoang, Christian Komusiewicz, Nils Morawietz

A Quasi-Polynomial Time Algorithm for 3-Coloring Circle Graphs

2026 Symposium on Simplicity in Algorithms, SOSA 2026, Vancouver, BC, Canada, January 12-14, 2026 (Sepehr Assadi, Eva Rotenberg, eds.), pages 65–80, 2026, SIAM.

Ajaykrishnan E S, Robert Ganian, Daniel Lokshtanov, Vaishali Surianarayanan

A Reinforcement Learning Guided Large Neighborhood Search for the Dynamic Electric Autonomous Dial-a-Ride Problem

Machine Learning, Optimization, and Data Science – LOD 2025 (Giuseppe Nicosia, Varunand Giesselbach, Sven Ojha, M. Panos Pardalos, Renato Umeton, La Malfa Emanuele, La Malfa Gabriele, eds.), volume 16467 of LNCS, pages 425-439, 2026, Springer.

Laurenz Tomandl, Maria Bresich, Günther Raidl, Yi, Mei, Steffen Limmer, Tobias Rodemann

Agentic Neurosymbolic Collaboration for Mathematical Discovery: A Case Study in Combinatorial Design

Proceedings of the 20th Conference on Neurosymbolic Learning and Reasoning (NeSy 2026), 2026.
Note: To appear; preprint: CoRR abs/2603.08322, https://arxiv.org/abs/2603.08322

Hai Xia, Carla P. Gomes, Bart Selman, Stefan Szeider

Algorithm Selection with Zero Domain Knowledge via Text Embeddings

Proceedings of the International Conference on Automated Machine Learning, AutoML 2026, September 28 – October 1, 2026, Ljubljana, Slovenia, 2026.
Note: To appear; preprint: CoRR abs/2604.19753, https://arxiv.org/abs/2604.19753

ASP-Bench: From Natural Language to Logic Programs

Proceedings of the 2nd IEEE/ACM International Workshop on Neuro-Symbolic Software Engineering (NSE ‘26), pages 1–8, 2026, ACM.
Note: Preprint: CoRR abs/2602.01171, https://arxiv.org/abs/2602.01171. Extended abstract in Proceedings 42nd International Conference on Logic Programming, ICLP 2026, EPTCS 450, pages 104–118, https://doi.org/10.4204/EPTCS.450.10