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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]