| 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 | 367 | 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 | 182 | 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 | 129 | 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 | 107 | 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 | 81 | 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 | 74 | 2015 |
| 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 | 74 | 2007 |
| 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 | 65 | 2017 |
| 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 | 58 | 2012 |
| Effects of iterated interactions in multiplayer spatial evolutionary games R Chiong, M Kirley IEEE Transactions on evolutionary computation 16 (4), 537-555, 2012 | 58 | 2012 |
| Do artificial ants march in step? Ordered asynchronous processes and modularity in biological systems D Cornforth, DG Green, D Newth, M Kirley Proceedings of the eighth international conference on Artificial life, MIT …, 2003 | 53 | 2003 |
| An agent-based approach to modelling pedestrian behaviour N Ronald, L Sterling, M Kirley International Journal of Simulation 8 (1), 25-38, 2007 | 51 | 2007 |
| 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 | 47 | 2013 |
| A cellular genetic algorithm with disturbances: optimisation using dynamic spatial interactions M Kirley Journal of Heuristics 8 (3), 321-342, 2002 | 46 | 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 | 42 | 2012 |
| 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 | 35 | 1998 |
| Multi-objective problem solving with offspring on enterprise clouds C Vecchiola, M Kirley, R Buyya arXiv preprint arXiv:0903.1386, 2009 | 32 | 2009 |
| 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 | 31 | 2012 |
| 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 | 31 | 2002 |
| 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 | 30 | 2017 |
