PPaperPicks

Frank Neumann

University of Adelaide, Australia

27 papers at tracked venues · 1 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-2721-3618 ↗Google Scholar ↗Homepage ↗

Venues

PPSN ×13GECCO ×12AAAI ×1IJCAI ×1

Frequent coauthors

Aneta Neumann
×19
Andrew M. Sutton
×3
Denis Antipov
×3
Liam Wigney
×3
Yew Soon Ong
×3
Thomas Bäck
×2
Duc-Cuong Dang
×2
Andre Opris
×2
Dirk Sudholt
×2
Mingyu Guo
×2
Joshua D. Knowles
×1
Per Kristian Lehre
×1

Papers

  1. A Generic Framework for Optimisation under Uncertainty with Recourse: Theory and Examples
    GECCO 2026 ·
    Joshua D. Knowles
    ,
    Per Kristian Lehre
    ,
    Shishen Lin
    , Frank Neumann,
    Janina Schreiber
    ,
    Christine Zarges
  2. Block-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking
    GECCO 2026 ·
    Furong Ye
    , Frank Neumann,
    Thomas Bäck
    ,
    Niki van Stein
  3. Effective Traveling for Metric Instances of the Traveling Thief Problem
    PPSN 2026 ·
    Jan Eube
    ,
    Kelin Luo
    ,
    Aneta Neumann
    , Frank Neumann,
    Heiko Röglin
  4. Evolutionary Algorithms and Multi-objective Minimum Spanning Trees with Limited Distinct Weight Values
    PPSN 2026 ·
    Narges Tavassoli Kejani
    ,
    Andrew M. Sutton
    , Frank Neumann
  5. Evolutionary Algorithms for Generating Graphs Matching Desired Laplacian Spectra
    GECCO 2026 ·
    Hendrik Richter
    , Frank Neumann
  6. Hot of the Press: Theoretical Analysis of Evolutionary Algorithms with Quality Diversity for a Classical Path Planning Problem
    GECCO 2026 ·
    Duc-Cuong Dang
    ,
    Aneta Neumann
    , Frank Neumann,
    Andre Opris
    ,
    Dirk Sudholt
  7. Hot off the Press: Runtime Analysis of Evolutionary Diversity Optimization on the Multi-objective (LeadingOnes, TrailingZeros) Problem
    GECCO 2026 ·
    Denis Antipov
    ,
    Aneta Neumann
    , Frank Neumann,
    Andrew M. Sutton
  8. Insights from Multi-tasking the EAX Algorithm for the Travelling Salesperson Problem
    PPSN 2026 ·
    Liam Wigney
    ,
    Aneta Neumann
    ,
    Yew Soon Ong
    , Frank Neumann
  9. Multitask Pareto Optimization for Monotone Submodular Problems with Dynamic Constraints
    PPSN 2026 ·
    Liam Wigney
    , Frank Neumann
  10. The Traveling Thief Problem with Time Windows: Benchmarks and Heuristics
    PPSN 2026 ·
    Helen Yuliana Angmalisang
    , Frank Neumann
  11. Evolutionary Multitasking for the Scenario-based Travelling Thief Problem
    GECCO 2025 ·
    Thilina Pathirage Don
    ,
    Aneta Neumann
    , Frank Neumann
  12. Evolutionary computation for stochastic problems
    GECCO 2025 · Frank Neumann,
    Aneta Neumann
    ,
    Hemant K. Singh
  13. Evolving Diverse Differentiating Stochastic Constraints Using Multi-objective Indicators
    GECCO 2025 ·
    Saba Sadeghi Ahouei
    ,
    Aneta Neumann
    , Frank Neumann
  14. Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms
    GECCO 2025 ·
    Shuaiqun Pan
    ,
    Yash J. Patel
    ,
    Aneta Neumann
    , Frank Neumann,
    Thomas Bäck
    ,
    Hao Wang
  15. On the Use of Matching Algorithms to Transfer Solutions for the Travelling Salesperson Problem
    GECCO 2025 ·
    Liam Wigney
    ,
    Aneta Neumann
    ,
    Yew-Soon Ong
    , Frank Neumann
  16. Quality Diversity Genetic Programming for Learning Scheduling Heuristics
    GECCO 2025 ·
    Meng Xu
    , Frank Neumann,
    Aneta Neumann
    ,
    Yew Soon Ong
  17. Runtime Analysis of Evolutionary Multitasking for Classical Benchmark Problems
    GECCO 2025 ·
    Johannes Lengler
    ,
    Aneta Neumann
    , Frank Neumann
  18. Theoretical Analysis of Evolutionary Algorithms with Quality Diversity for a Classical Path Planning Problem
    IJCAI 2025 ·
    Duc-Cuong Dang
    ,
    Aneta Neumann
    , Frank Neumann,
    Andre Opris
    ,
    Dirk Sudholt
  19. Analysis of Evolutionary Diversity Optimisation for the Maximum Matching Problem
    PPSN 2024 ·
    Jonathan Gadea Harder
    ,
    Aneta Neumann
    , Frank Neumann
  20. Archive-Based Single-Objective Evolutionary Algorithms for Submodular Optimization
    PPSN 2024 · Frank Neumann,
    Günter Rudolph
  21. Evolutionary Multi-objective Diversity Optimization
    PPSN 2024 ·
    Anh Viet Do
    ,
    Mingyu Guo
    ,
    Aneta Neumann
    , Frank Neumann
  22. Limited Query Graph Connectivity Test
    AAAI 2024 ·
    Mingyu Guo
    ,
    Jialiang Li
    ,
    Aneta Neumann
    , Frank Neumann,
    Hung X. Nguyen
  23. Local Optima in Diversity Optimization: Non-trivial Offspring Population is Essential
    PPSN 2024 ·
    Denis Antipov
    ,
    Aneta Neumann
    , Frank Neumann
  24. Multi-objective Evolutionary Approaches for the Knapsack Problem with Stochastic Profits
    PPSN 2024 ·
    Kokila Kasuni Perera
    , Frank Neumann,
    Aneta Neumann
  25. Runtime Analysis of Evolutionary Diversity Optimization on a Tri-Objective Version of the (LeadingOnes, TrailingZeros) Problem
    PPSN 2024 ·
    Denis Antipov
    ,
    Aneta Neumann
    , Frank Neumann,
    Andrew M. Sutton
  26. Sliding Window 3-Objective Pareto Optimization for Problems with Chance Constraints
    PPSN 2024 · Frank Neumann,
    Carsten Witt
  27. Sliding Window Bi-objective Evolutionary Algorithms for Optimizing Chance-Constrained Monotone Submodular Functions
    PPSN 2024 ·
    Xiankun Yan
    ,
    Aneta Neumann
    , Frank Neumann