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Michael Affenzeller: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Stephan M. Winkler, Hajrudin Efendic, Michael Affenzeller, Luigi Del Re, Stefan Wagner
    On-Line Modelling Based on Genetic Programming. [Citation Graph (0, 0)][DBLP]
    ALaRT, 2005, pp:119-130 [Conf]
  2. Michael Affenzeller, Franz Pichler, Rudolf Mittelmann
    On CAST.FSM Computation of Hierarchical Multi-layer Networks of Automata. [Citation Graph (0, 0)][DBLP]
    EUROCAST, 2001, pp:36-44 [Conf]
  3. Michael Affenzeller, Stefan Wagner
    A Self-adaptive Model for Selective Pressure Handling within the Theory of Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    EUROCAST, 2003, pp:384-393 [Conf]
  4. Michael Affenzeller, Stefan Wagner, Stephan M. Winkler
    Goal-oriented preservation of essential genetic information by offspring selection. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1595-1596 [Conf]
  5. Stephan M. Winkler, Michael Affenzeller, Stefan Wagner
    Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1601-1602 [Conf]
  6. Michael Affenzeller
    New Generic Hybrids Based upon Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2002, pp:329-339 [Conf]
  7. Stefan Wagner, Michael Affenzeller, Ismail Khalil Ibrahim
    Agent-based Problem Solving: The Ant Colonies Metaphor. [Citation Graph (0, 0)][DBLP]
    iiWAS, 2003, pp:- [Conf]
  8. Stephan M. Winkler, Michael Affenzeller, Stefan Wagner
    Advances in applying genetic programming to machine learning, focussing on classification problems. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2006, pp:- [Conf]
  9. Michael Affenzeller
    A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA). [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:594-601 [Conf]
  10. Michael Affenzeller, Stefan Wagner
    SASEGASA: An Evolutionary Algorithm for Retarding Premature Convergence by Self-adaptive Selection Pressure Steering. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:438-445 [Conf]
  11. Michael Affenzeller, Stefan Wagner, Stephan M. Winkler
    GA-Selection Revisited from an ES-Driven Point of View. [Citation Graph (0, 0)][DBLP]
    IWINAC (2), 2005, pp:262-271 [Conf]
  12. Stefan Wagner, Michael Affenzeller
    The Allele Meta-model - Developing a Common Language for Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    IWINAC (2), 2005, pp:202-211 [Conf]
  13. Michael Affenzeller, Stefan Wagner
    SASEGASA: A New Generic Parallel Evolutionary Algorithm for Achieving Highest Quality Results. [Citation Graph (0, 0)][DBLP]
    J. Heuristics, 2004, v:10, n:3, pp:243-267 [Journal]
  14. Michael Affenzeller
    Segregative Genetic Algorithms (SEGA): A hybrid superstructure upwards compatible to genetic algorithms for retarding premature convergence. [Citation Graph (0, 0)][DBLP]
    Int. J. Comput. Syst. Signal, 2001, v:2, n:1, pp:16-30 [Journal]
  15. Roland Braune, Stefan Wagner, Michael Affenzeller
    Optimization Methods for Large-Scale Production Scheduling Problems. [Citation Graph (0, 0)][DBLP]
    EUROCAST, 2007, pp:812-819 [Conf]
  16. Stefan Wagner, Stephan M. Winkler, Erik Pitzer, Gabriel Kronberger, Andreas Beham, Roland Braune, Michael Affenzeller
    Benefits of Plugin-Based Heuristic Optimization Software Systems. [Citation Graph (0, 0)][DBLP]
    EUROCAST, 2007, pp:747-754 [Conf]
  17. Stephan Winkler, Michael Affenzeller, Stefan Wagner
    Selection Pressure Driven Sliding Window Behavior in Genetic Programming Based Structure Identification. [Citation Graph (0, 0)][DBLP]
    EUROCAST, 2007, pp:788-795 [Conf]
  18. Michael Affenzeller, Stefan Wagner, Stephan Winkler
    Self-adaptive Population Size Adjustment for Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    EUROCAST, 2007, pp:820-828 [Conf]
  19. Michael Affenzeller, Stefan Wagner, Stephan M. Winkler
    Aspects of adaptation in natural and artificial evolution. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:2595-2602 [Conf]

  20. Music Segmentation With Genetic Algorithms. [Citation Graph (, )][DBLP]


  21. On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection. [Citation Graph (, )][DBLP]


  22. Priority Rule Generation with a Genetic Algorithm to Minimize Sequence Dependent Setup Costs. [Citation Graph (, )][DBLP]


  23. On the Influence of Selection Schemes on the Genetic Diversity in Genetic Algorithms. [Citation Graph (, )][DBLP]


  24. Model Driven Rapid Prototyping of Heuristic Optimization Algorithms. [Citation Graph (, )][DBLP]


  25. Using Heuristic Optimization for Segmentation of Symbolic Music. [Citation Graph (, )][DBLP]


  26. On Structural Identification of 2D Regression Functions for Indoor Bluetooth Localization. [Citation Graph (, )][DBLP]


  27. Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification. [Citation Graph (, )][DBLP]


  28. Evolutionary Selection in Simulation-Based Optimization. [Citation Graph (, )][DBLP]


  29. Heuristic Methods for Searching and Clustering Hierarchical Workflows. [Citation Graph (, )][DBLP]


  30. On Crossover Success Rate in Genetic Programming with Offspring Selection. [Citation Graph (, )][DBLP]


  31. Fine-grained population diversity estimation for genetic programming based structure identification. [Citation Graph (, )][DBLP]


  32. About the dynamics of essential genetic information: an empirical analysis for selected GA-variants. [Citation Graph (, )][DBLP]


  33. Classification of tumor marker values using heuristic data mining methods. [Citation Graph (, )][DBLP]


  34. A genetic programming approach to solve scheduling problems with parallel simulation. [Citation Graph (, )][DBLP]


  35. Fine grained population diversity analysis for parallel genetic programming. [Citation Graph (, )][DBLP]


  36. Coupling Simulation with HeuristicLab to Solve Facility Layout Problems. [Citation Graph (, )][DBLP]


  37. Overview: A Simulation Based Metaheuristic Optimization Approach to Optimal Power Dispatch Related to a Smart Electric Grid. [Citation Graph (, )][DBLP]


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