Scholar
Frank Neumann
Google Scholar ID: Z5iNnqIAAAAJ
Optimisation and Logistics, School of Computer
Citations & Impact
Citations
6,458
H-index
37
i10-index
172
Publications
20
Co-authors
46
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Co-edited 'Theory of Evolutionary Computation: Recent Developments in Discrete Optimization' (Springer, 2019)
- Co-authored 'Bioinspired Computation in Combinatorial Optimization: Algorithms and Their Computational Complexity' (Springer, 2010)
- Area Editor of ACM Transactions on Evolutionary Learning and Optimization
- Associate Editor of Evolutionary Computation (MIT Press)
- Associate Editor of IEEE Transactions on Evolutionary Computation (2017–2019)
- Advisory Board Member of Springer Natural Computing Book Series
- Published tutorials, slides, and videos from multiple GECCO, CEC, and WCCI presentations
Research Experience
- Leader of the Optimisation and Logistics group at The University of Adelaide
- Associate Investigator, ARC Industrial Transformation Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA), 2021–2027
- Member of the 'Optimisation under uncertainty' working group, EU COST Action CA22137 (ROAR-NET)
- Organised and delivered tutorials at major conferences (GECCO, IEEE CEC, WCCI) on evolutionary computation for stochastic problems, submodular optimisation, diversity optimisation, and digital art
- Co-organiser of the 2019 and 2022 Workshops on AI-based Optimisation at The University of Melbourne
- General Chair of GECCO 2016
- Co-chair of the Theory Track at GECCO 2020 and 2021
- Co-founded the '(Formal) Theory' track at GECCO in 2007 with Benjamin Doerr and Ingo Wegener
- Co-founded the 'Theory of Randomized Search Heuristics' workshop series in 2007 with Benjamin Doerr
