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 | 529 | 2007 |
Firerisk: A remote sensing dataset for fire risk assessment with benchmarks using supervised and self-supervised learning S Shen, S Seneviratne, X Wanyan, M Kirley 2023 International Conference on Digital Image Computing: Techniques and …, 2023 | 336 | 2023 |
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 | 247 | 2015 |
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 | 227 | 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 | 198 | 2017 |
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 | 189 | 2014 |
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 | 160 | 2009 |
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 | 150 | 2015 |
A meta-learning prediction model of algorithm performance for continuous optimization problems MA Muñoz, M Kirley, SK Halgamuge Parallel Problem Solving from Nature-PPSN XII: 12th International Conference …, 2012 | 84 | 2012 |
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 | 81 | 2007 |
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 | 79 | 2017 |
Effects of iterated interactions in multiplayer spatial evolutionary games R Chiong, M Kirley IEEE Transactions on evolutionary computation 16 (4), 537-555, 2012 | 78 | 2012 |
An agent-based approach to modelling pedestrian behaviour N Ronald, L Sterling, M Kirley International journal of Simulation 8 (1), 25-38, 2007 | 73 | 2007 |
Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition Y Sun, MN Omidvar, M Kirley, X Li Proceedings of the genetic and evolutionary computation conference, 889-896, 2018 | 68 | 2018 |
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 | 60 | 2012 |
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 | 57 | 2013 |
Do Artificial Ants March in Step? Ordered Asynchronous Processes and Modularity in Biological Systems. D Cornforth, D Green, D Newth, M Kirley International Conference on the Simulation and Synthesis of Living Systems, 2003 | 54 | 2003 |
Quantifying variable interactions in continuous optimization problems Y Sun, M Kirley, SK Halgamuge IEEE Transactions on Evolutionary Computation 21 (2), 249-264, 2016 | 49 | 2016 |
Norm talk and human cooperation: Can we talk ourselves into cooperation? DB Shank, Y Kashima, K Peters, Y Li, G Robins, M Kirley Journal of Personality and Social Psychology 117 (1), 99, 2019 | 48 | 2019 |
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 | 47 | 2002 |