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Jano I. van Hemert: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Anne Defaweux, Tom Lenaerts, Jano I. van Hemert
    Evolutionary Transitions as a Metaphor for Evolutionary Optimisation. [Citation Graph (0, 0)][DBLP]
    ECAL, 2005, pp:342-352 [Conf]
  2. Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert
    Adapting the Fitness Function in GP for Data Mining. [Citation Graph (0, 0)][DBLP]
    EuroGP, 1999, pp:193-202 [Conf]
  3. Jeroen Eggermont, Jano I. van Hemert
    Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2001, pp:23-35 [Conf]
  4. István Juhos, Jano I. van Hemert
    Improving Graph Colouring Algorithms and Heuristics Using a Novel Representation. [Citation Graph (0, 0)][DBLP]
    EvoCOP, 2006, pp:123-134 [Conf]
  5. István Juhos, Attila Tóth, Jano I. van Hemert
    Binary Merge Model Representation of the Graph Colouring Problem. [Citation Graph (0, 0)][DBLP]
    EvoCOP, 2004, pp:124-134 [Conf]
  6. István Juhos, Attila Tóth, Jano I. van Hemert
    Heuristic Colour Assignment Strategies for Merge Models in Graph Colouring. [Citation Graph (0, 0)][DBLP]
    EvoCOP, 2005, pp:132-143 [Conf]
  7. Jano I. van Hemert
    Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2002, pp:82-91 [Conf]
  8. Jano I. van Hemert
    Property Analysis of Symmetric Travelling Salesman Problem Instances Acquired Through Evolution. [Citation Graph (0, 0)][DBLP]
    EvoCOP, 2005, pp:122-131 [Conf]
  9. Jano I. van Hemert, Christine Solnon
    A Study into Ant Colony Optimisation, Evolutionary Computation and Constraint Programming on Binary Constraint Satisfaction Problems. [Citation Graph (0, 0)][DBLP]
    EvoCOP, 2004, pp:114-123 [Conf]
  10. Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, Johan Parent
    Transition models as an incremental approach for problem solving in evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:599-606 [Conf]
  11. A. E. Eiben, D. Elia, Jano I. van Hemert
    Population dynamics and emerging mental features in AEGIS. [Citation Graph (0, 0)][DBLP]
    GECCO, 1999, pp:1257-1264 [Conf]
  12. Martin Gruber, Jano I. van Hemert, Günther R. Raidl
    Neighbourhood searches for the bounded diameter minimum spanning tree problem embedded in a VNS, EA, and ACO. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1187-1194 [Conf]
  13. Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert
    A Comparison of Genetic Programming Variants for Data Classification. [Citation Graph (0, 0)][DBLP]
    IDA, 1999, pp:281-290 [Conf]
  14. A. E. Eiben, Jano I. van Hemert, Elena Marchiori, Adri G. Steenbeek
    Solving Binary Constraint Satisfaction Problems Using Evolutionary Algorithms with an Adaptive Fitness Function. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:201-210 [Conf]
  15. Jano I. van Hemert, Thomas Bäck
    Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:23-32 [Conf]
  16. Jano I. van Hemert, Johannes A. La Poutré
    Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:692-701 [Conf]
  17. Jano I. van Hemert, Neil Urquhart
    Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:151-160 [Conf]
  18. Jano I. van Hemert, Richard A. Baldock
    Mining Spatial Gene Expression Data for Association Rules. [Citation Graph (0, 0)][DBLP]
    BIRD, 2007, pp:66-76 [Conf]
  19. Jano I. van Hemert
    Evolving Combinatorial Problem Instances That Are Difficult to Solve. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2006, v:14, n:4, pp:433-462 [Journal]
  20. A. E. Eiben, J. K. van der Hauw, Jano I. van Hemert
    Graph Coloring with Adaptive Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    J. Heuristics, 1998, v:4, n:1, pp:25-46 [Journal]
  21. Jano I. van Hemert, Thomas Bäck
    Robust Parameter Settings for Variation Operators by Measuring the Resampling Ratio: A Study on Binary Constraint Satisfaction Problems. [Citation Graph (0, 0)][DBLP]
    J. Heuristics, 2004, v:10, n:6, pp:629-640 [Journal]
  22. Bart G. W. Craenen, A. E. Eiben, Jano I. van Hemert
    Comparing evolutionary algorithms on binary constraint satisfaction problems. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2003, v:7, n:5, pp:424-444 [Journal]
  23. Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, Johan Parent
    Complexity transitions in evolutionary algorithms: evaluating the impact of the initial population. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2174-2181 [Conf]
  24. Jano I. van Hemert
    Property analysis of symmetric travelling salesman problem instances acquired through evolution [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]

  25. Automating Gene Expression Annotation for Mouse Embryo. [Citation Graph (, )][DBLP]


  26. Orchestrating Data-Centric Workflows. [Citation Graph (, )][DBLP]


  27. An E-infrastructure to Support Collaborative Embryo Research. [Citation Graph (, )][DBLP]


  28. Federated Enactment of Workflow Patterns. [Citation Graph (, )][DBLP]


  29. Graph Colouring Heuristics Guided by Higher Order Graph Properties. [Citation Graph (, )][DBLP]


  30. Eliminating the middleman: peer-to-peer dataflow. [Citation Graph (, )][DBLP]


  31. Towards optimising distributed data streaming graphs using parallel streams. [Citation Graph (, )][DBLP]


  32. Scientific Workflow: A Survey and Research Directions. [Citation Graph (, )][DBLP]


  33. Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns. [Citation Graph (, )][DBLP]


  34. Understanding TSP Difficulty by Learning from Evolved Instances. [Citation Graph (, )][DBLP]


  35. The Circulate architecture: avoiding workflow bottlenecks caused by centralised orchestration. [Citation Graph (, )][DBLP]


  36. The Circulate architecture: avoiding workflow bottlenecks caused by centralised orchestration. [Citation Graph (, )][DBLP]


  37. An e-Infrastructure for Collaborative Research in Human Embryo Development [Citation Graph (, )][DBLP]


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