Scholar

Günther Raidl

Google Scholar ID: -vFfXIsAAAAJ

Professor, TU Wien

combinatorial optimizationmachine learning

Citations & Impact

All-time

Citations

5,970

H-index

i10-index

Publications

Co-authors

Contact

Resume

Academic Achievements

Editorial board member or associate editor for multiple international journals, including: Algorithms (MDPI, since 2020), Engineering Applications of Artificial Intelligence (Elsevier, since 2022), ACM Transactions on Evolutionary Learning and Optimization (since 2019), INFORMS Journal on Computing (since 2013), etc.
Associate editor of Evolutionary Computation Journal (MIT Press, 2005–2014); editorial board member since 2015
Long-standing editorial roles in journals on metaheuristics and AI applications
Co-founder and steering committee member of the EvoCOP conference series
Steering committee member of EvoAPPS since 2018
Co-Chair of the Workshop on Theory and Applications of Metaheuristic Algorithms at EUROCAST 2024
Local Chair of SoCS 2022 in Vienna
Program Chair of MIC 2013 in Singapore
Local Co-Organizer of EvoStar 2013 in Vienna
General and Local Chair of the Hybrid Metaheuristics Workshop in 2010
Track Co-Chair at GECCO 2011 in Dublin
Executive Board member of ÖGOR (Austrian Society of Operations Research, 2013–2016)
Management Board member of EU COST Action CA15140 ImAppNIO since 2016

Background

Research interests include algorithmic problems in application domains such as network design and other graph problems, transportation optimization, cutting and packing, computational biology, scheduling and timetabling
Focus on combinatorial optimization using exact methods (e.g., mathematical programming, branch and bound, dynamic programming, constraint programming) as well as heuristics and metaheuristics
Research in machine learning and reinforcement learning
Particular emphasis on hybrid optimization techniques combining (meta-)heuristics, exact optimization, and machine learning
Interest in efficient algorithms and data structures