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

Publications of Author

  1. David Cornforth, Michael Kirley, Terry Bossomaier
    Agent Heterogeneity and Coalition Formation: Investigating Market-Based Cooperative Problem Solving. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2004, pp:556-563 [Conf]
  2. Somesh Selvaratnam, Michael Kirley
    Predicting Stock Market Time Series Using Evolutionary Artificial Neural Networks with Hurst Exponent Input Windows. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:617-626 [Conf]
  3. Michael Kirley, Robert L. Stewart
    Multiobjective Evolutionary Algorithms on Complex Networks. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:81-95 [Conf]
  4. David Cornforth, Michael Kirley
    Cooperative Problem Solving Using an Agent-Based Market. [Citation Graph (0, 0)][DBLP]
    GECCO (1), 2004, pp:60-71 [Conf]
  5. Michael Kirley
    Dominance hierarchies and social diversity in multi-agent systems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:159-166 [Conf]
  6. Michael Kirley, David G. Green
    An Empirical Investigation of Optimization in Dynamic Environments Using the Cellular Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:11-18 [Conf]
  7. Michael Kirley
    Competition, cooperation and collective behaviour: resource utilization in non-stationary environments. [Citation Graph (0, 0)][DBLP]
    IAT, 2005, pp:572-578 [Conf]
  8. Nicole Ronald, Leon Sterling, Michael Kirley
    Evaluating JACK Sim for Agent-Based Modelling of Pedestrians. [Citation Graph (0, 0)][DBLP]
    IAT, 2006, pp:81-87 [Conf]
  9. Nicole Ronald, Michael Kirley
    Pedestrian Modelling: A Comparative Study Using Agent-Based Cellular Automata. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (3), 2006, pp:248-255 [Conf]
  10. Kalyanaraman Kaesava Kshetrapalapuram, Michael Kirley
    Mining Classification Rules Using Evolutionary Multi-objective Algorithms. [Citation Graph (0, 0)][DBLP]
    KES (3), 2005, pp:959-965 [Conf]
  11. Michael Kirley, Xiaodong Li, David G. Green
    Investigation of a Cellular Genetic Algorithm that Mimics Landscape Ecology. [Citation Graph (0, 0)][DBLP]
    SEAL, 1998, pp:90-97 [Conf]
  12. Md. Rafiul Hassan, Baikunth Nath, Michael Kirley
    A fusion model of HMM, ANN and GA for stock market forecasting. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:33, n:1, pp:171-180 [Journal]
  13. Michael Kirley
    A Cellular Genetic Algorithm with Disturbances: Optimisation Using Dynamic Spatial Interactions. [Citation Graph (0, 0)][DBLP]
    J. Heuristics, 2002, v:8, n:3, pp:321-342 [Journal]
  14. Robert L. Stewart, Michael Kirley
    Swarming with logic. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:184- [Conf]
  15. Michael Kirley, Robert L. Stewart
    An analysis of the effects of population structure on scalable multiobjective optimization problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:845-852 [Conf]
  16. Xiaodong Li, Jürgen Branke, Michael Kirley
    Performance measures and particle swarm methods for dynamic multi-objective optimization problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:907- [Conf]

  17. Co-evolution of agent strategies in N-player dilemmas. [Citation Graph (, )][DBLP]


  18. CoXCS: A Coevolutionary Learning Classifier Based on Feature Space Partitioning. [Citation Graph (, )][DBLP]


  19. A pareto following variation operator for fast-converging multiobjective evolutionary algorithms. [Citation Graph (, )][DBLP]


  20. Multi-objective planning for workflow execution on Grids. [Citation Graph (, )][DBLP]


  21. Multiobjective differential evolution for workflow execution on grids. [Citation Graph (, )][DBLP]


  22. Forecasting Urban Air Pollution Using HMM-Fuzzy Model. [Citation Graph (, )][DBLP]


  23. Phylogeny Inference Using a Multi-objective Evolutionary Algorithm with Indirect Representation. [Citation Graph (, )][DBLP]


  24. Heterogeneous Payoffs and Social Diversity in the Spatial Prisoner's Dilemma game. [Citation Graph (, )][DBLP]


  25. On performance metrics and particle swarm methods for dynamic multiobjective optimization problems. [Citation Graph (, )][DBLP]


  26. An analysis of the effects of clustering in graph-based evolutionary algorithms. [Citation Graph (, )][DBLP]


  27. A Pareto following variation operator for evolutionary dynamic multi-objective optimization. [Citation Graph (, )][DBLP]


  28. The Pareto-Following Variation Operator as an alternative approximation model. [Citation Graph (, )][DBLP]


  29. Co-evolutionary Learning in the N-player Iterated Prisoner's Dilemma with a Structured Environment. [Citation Graph (, )][DBLP]


  30. Evolving Cooperation in the N-player Prisoner's Dilemma: A Social Network Model. [Citation Graph (, )][DBLP]


  31. Multiobjective differential evolution for scheduling workflow applications on global Grids. [Citation Graph (, )][DBLP]


  32. Multi-Objective Problem Solving With Offspring on Enterprise Clouds [Citation Graph (, )][DBLP]


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