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Tim Hendtlass: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. James Montgomery, Marcus Randall, Tim Hendtlass
    Search Bias in Constructive Metaheuristics and Implications for Ant Colony Optimisation. [Citation Graph (0, 0)][DBLP]
    ANTS Workshop, 2004, pp:390-397 [Conf]
  2. K. Foster, Tim Hendtlass
    Combining a Rule-Based Expert System and Machine Learning in a Simulated Mobile Robot Control System. [Citation Graph (0, 0)][DBLP]
    HIS, 2003, pp:361-370 [Conf]
  3. Daniel Angus, Tim Hendtlass
    Ant Colony Optimisation Applied to a Dynamically Changing Problem. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2002, pp:618-627 [Conf]
  4. David Braendler, Tim Hendtlass
    The Suitability of Particle Swarm Optimisation for Training Neural Hardware. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2002, pp:190-199 [Conf]
  5. Belinda Choi, Tim Hendtlass, Kevin Bluff
    A Comparison of Neural Network Input Vector Selection Techniques. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2004, pp:1-10 [Conf]
  6. Howard Copeland, Tim Hendtlass
    An Evolutionary Algorithm with a Genetic Encoding Scheme. [Citation Graph (0, 0)][DBLP]
    IEA/AIE (Vol. 1), 1998, pp:632-639 [Conf]
  7. Tim Hendtlass
    SOMulANT: Organizing Information Using Multiple Agents. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2000, pp:322-327 [Conf]
  8. Tim Hendtlass
    A Combined Swarm Differential Evolution Algorithm for Optimization Problems. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2001, pp:11-18 [Conf]
  9. Tim Hendtlass
    Preserving Diversity in Particle Swarm Optimisation. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2003, pp:31-40 [Conf]
  10. Tim Hendtlass
    TSP Optimisation Using Multi Tour Ants. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2004, pp:523-532 [Conf]
  11. Tim Hendtlass
    Generating Lookup Tables Using Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    IEA/AIE (Vol. 1), 1998, pp:640-646 [Conf]
  12. Tim Hendtlass, Gerard Murray
    The Macronet Element: A Substitute for the Conventional Neuron. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2002, pp:211-219 [Conf]
  13. James Montgomery, Marcus Randall, Tim Hendtlass
    Structural Advantages for Ant Colony Optimisation Inherent in Permutation Scheduling Problems. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2005, pp:218-228 [Conf]
  14. Irene Moser, Tim Hendtlass
    On the Behaviour of Extremal Optimisation When Solving Problems with Hidden Dynamics. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2006, pp:292-301 [Conf]
  15. Gerard Murray, Tim Hendtlass
    Enhanced Artificial Neurons for Network Applications. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2001, pp:281-289 [Conf]
  16. Gerard Murray, Tim Hendtlass, John R. Podlena
    The Parallel Path Artificial Micronet. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1999, pp:111-117 [Conf]
  17. David Philpot, Tim Hendtlass
    Ensembles of Neural Networks for Analogue Problems. [Citation Graph (0, 0)][DBLP]
    IEA/AIE (Vol. 1), 1998, pp:625-631 [Conf]
  18. Hans Pierrot, Tim Hendtlass
    Using a Modified Counter-Propagation Algorithm to Classify Conjoint Data. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2003, pp:337-347 [Conf]
  19. John R. Podlena, Tim Hendtlass
    Using a Combination of Genetic Algorithm and Hill Climbing Techniques for the Solution of a Difficult Letter Recognition Problem. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1995, pp:55-60 [Conf]
  20. Ben Prime, Tim Hendtlass
    Evolutionary Computation Using Island Populations in Time. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2004, pp:573-582 [Conf]
  21. Mehrdad Salami, Tim Hendtlass
    A Fast Evolutionary Algorithm for Image Compression in Hardware. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2002, pp:241-252 [Conf]
  22. Mehrdad Salami, Tim Hendtlass
    A Fitness Estimation Strategy for Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2002, pp:502-513 [Conf]
  23. Clinton Woodward, Tim Hendtlass
    Dynamic Trait Expression for Multiploid Individuals of Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2001, pp:374-382 [Conf]
  24. Daniel Angus, Tim Hendtlass
    Dynamic Ant Colony Optimisation. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2005, v:23, n:1, pp:33-38 [Journal]
  25. Tim Hendtlass
    Developments in Applied Artificial Intelligence: Guest Editor's Introduction. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2005, v:23, n:1, pp:7-8 [Journal]
  26. Hans Pierrot, Tim Hendtlass
    Using a modified counter-propagation algorithm to classify conjoined data. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2006, v:24, n:3, pp:241-251 [Journal]
  27. John R. Podlena, Tim Hendtlass
    An Accelerated Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 1998, v:8, n:2, pp:103-111 [Journal]
  28. Mehrdad Salami, Tim Hendtlass
    A fast evaluation strategy for evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2003, v:2, n:3, pp:156-173 [Journal]
  29. Mehrdad Salami, Tim Hendtlass
    The Fast Evaluation Strategy for Evolvable Hardware. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2005, v:6, n:2, pp:139-162 [Journal]
  30. Tim Hendtlass, Irene Moser, Marcus Randall
    Dynamic Problems and Nature Inspired Meta-Heuristics. [Citation Graph (0, 0)][DBLP]
    e-Science, 2006, pp:111- [Conf]
  31. Tim Hendtlass
    WoSP: a multi-optima particle swarm algorithm. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:727-734 [Conf]
  32. Ben Prime, Tim Hendtlass
    Mechanisms for Evolutionary Reincarnation. [Citation Graph (0, 0)][DBLP]
    ACAL, 2007, pp:245-256 [Conf]

  33. Collective intelligence and bush fire spotting. [Citation Graph (, )][DBLP]


  34. An Evolutionary Algorithm for The Generation of Unsupervised Self Organizing Neural Nets. [Citation Graph (, )][DBLP]


  35. Using The Baldwin Effect to Accelerate A Genetic Algorithm. [Citation Graph (, )][DBLP]


  36. Better Neurons for Biological Simulations. [Citation Graph (, )][DBLP]


  37. A Cascade of Neural Networks for Complex Classification. [Citation Graph (, )][DBLP]


  38. Extremal Optimisation and Bin Packing. [Citation Graph (, )][DBLP]


  39. Fitness estimation and the particle swarm optimisation algorithm. [Citation Graph (, )][DBLP]


  40. A simple and efficient multi-component algorithm for solving dynamic function optimisation problems. [Citation Graph (, )][DBLP]


  41. An evolutionary reincarnation algorithm. [Citation Graph (, )][DBLP]


  42. Particle Swarm Optimisation and high dimensional problem spaces. [Citation Graph (, )][DBLP]


  43. A Heterogeneous Particle Swarm. [Citation Graph (, )][DBLP]


  44. Automated Selection of Appropriate Pheromone Representations in Ant Colony Optimization. [Citation Graph (, )][DBLP]


  45. Solution bias in ant colony optimisation: Lessons for selecting pheromone models. [Citation Graph (, )][DBLP]


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