Michael Kirley
Michael Kirley
Professor, School of Computing and Information Systems, University of Melbourne
Verified email at unimelb.edu.au - Homepage
Cited by
Cited by
A fusion model of HMM, ANN and GA for stock market forecasting
MR Hassan, B Nath, M Kirley
Expert systems with Applications 33 (1), 171-180, 2007
Multi-objective planning for workflow execution on grids
J Yu, M Kirley, R Buyya
2007 8th IEEE/ACM International Conference on Grid Computing, 10-17, 2007
Multiobjective differential evolution for scheduling workflow applications on global grids
AKMKA Talukder, M Kirley, R Buyya
Concurrency and Computation: Practice and Experience 21 (13), 1742-1756, 2009
Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges
MA Muñoz, Y Sun, M Kirley, SK Halgamuge
Information Sciences 317, 224-245, 2015
Exploratory landscape analysis of continuous space optimization problems using information content
MA Muñoz, M Kirley, SK Halgamuge
IEEE Transactions on Evolutionary Computation 19 (1), 74-87, 2014
Extended differential grouping for large scale global optimization with direct and indirect variable interactions
Y Sun, M Kirley, SK Halgamuge
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
A recursive decomposition method for large scale continuous optimization
Y Sun, M Kirley, SK Halgamuge
IEEE Transactions on Evolutionary Computation 22 (5), 647-661, 2017
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems
X Li, J Branke, M Kirley
2007 IEEE Congress on Evolutionary Computation, 576-583, 2007
A meta-learning prediction model of algorithm performance for continuous optimization problems
MA Muñoz, M Kirley, SK Halgamuge
International Conference on Parallel Problem Solving from Nature, 226-235, 2012
Effects of iterated interactions in multiplayer spatial evolutionary games
R Chiong, M Kirley
IEEE Transactions on evolutionary computation 16 (4), 537-555, 2012
An agent-based approach to modelling pedestrian behaviour
N Ronald, L Sterling, M Kirley
International journal of Simulation 8 (1), 25-38, 2007
Do artificial ants march in step? Ordered asynchronous processes and modularity in biological systems
D Cornforth, DG Green, D Newth, M Kirley
Artificial Life VIII, MIT Press, 28-32, 2002
The co-evolution of cultures, social network communities, and agent locations in an extension of Axelrod’s model of cultural dissemination
J Pfau, M Kirley, Y Kashima
Physica A: Statistical Mechanics and its Applications 392 (2), 381-391, 2013
A cellular genetic algorithm with disturbances: optimisation using dynamic spatial interactions
M Kirley
Journal of Heuristics 8 (3), 321-342, 2002
A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction
MR Hassan, B Nath, M Kirley, J Kamruzzaman
Neurocomputing 81, 1-11, 2012
A Networked-Player Trust Game and Its Evolutionary Dynamics
M Chica, R Chiong, M Kirley, H Ishibuchi
IEEE Transactions on Evolutionary Computation 22 (6), 866-878, 2017
Investigation of a cellular genetic algorithm that mimics landscape ecology
M Kirley, X Li, DG Green
Asia-Pacific Conference on Simulated Evolution and Learning, 90-97, 1998
Multi-objective problem solving with offspring on enterprise clouds
C Vecchiola, M Kirley, R Buyya
arXiv preprint arXiv:0903.1386, 2009
The effects of varying population density in a fine-grained parallel genetic algorithm
X Li, M Kirley
Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002
Dynamic social networks facilitate cooperation in the N-player Prisoner’s Dilemma
G Rezaei, M Kirley
Physica A: Statistical Mechanics and its Applications 391 (23), 6199-6211, 2012
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