| 2025 | LAK | Investigating Validity and Generalisability in Trace-Based Measurement of Self-Regulated Learning: A Multidisciplinary Study. | Yige Song, Eduardo Oliveira, Paula G. de Barba, Michael Kirley, Pauline Thompson |
| 2025 | PAKDD | Turning Uncertainty to Information by Intervals in Ensemble Classifiers. | Mansoureh Maadi, Uwe Aickelin, Hadi Akbarzadeh Khorshidi, Michael Kirley |
| 2024 | CVPR | Extending global-local view alignment for self-supervised learning with remote sensing imagery. | Xinye Wanyan, Sachith Seneviratne, Shuchang Shen, Michael Kirley |
| 2024 | GECCO | Online Per-Instance Algorithm Selection for Constrained Multi-Objective Optimization Problems. | Hanan Alsouly, Michael Kirley, Mario Andrs Muoz |
| 2024 | GECCO | Sensitivity Analysis of Surrogate-assisted Bilevel Optimisation. | Behzad Moradi, Michael Kirley, Mario Andrs Muoz Acosta |
| 2024 | LAK | A Case Study on University Student Online Learning Patterns Across Multidisciplinary Subjects. | Yige Song, Eduardo Oliveira, Michael Kirley, Pauline Thompson |
| 2023 | DICTA | FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning. | Shuchang Shen, Sachith Seneviratne, Xinye Wanyan, Michael Kirley |
| 2023 | GECCO | An Iterative Machine Learning Approach to Informative Performance Reporting in Dynamic Multi-Objective Optimization. | Daniel Herring, Michael Kirley, Xin Yao |
| 2022 | GECCO | Reproducibility and baseline reporting for dynamic multi-objective benchmark problems. | Daniel Herring, Michael Kirley, Xin Yao |
| 2020 | AAAI | Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. | Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan |
| 2020 | IJCNN | Machine learning with incomplete datasets using multi-objective optimization models. | Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin |
| 2019 | CEC | Investigation of Asynchrony in Dynamic Multi-Objective Optimization. | Daniel Herring, Michael Kirley, Xin Yao |
| 2019 | CEC | Deep Multi-agent Reinforcement Learning in a Common-Pool Resource System. | Hanwei Zhu, Michael Kirley |
| 2018 | GECCO | Cooperative co-evolution with online optimizer selection for large-scale optimization. | Yuan Sun, Michael Kirley, Xiaodong Li |
| 2018 | GECCO | Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition. | Yuan Sun, Mohammad Nabi Omidvar, Michael Kirley, Xiaodong Li |
| 2017 | IJCAI | The Minds of Many: Opponent Modeling in a Stochastic Game. | Friedrich Burkhard von der Osten, Michael Kirley, Tim Miller |
| 2016 | CEC | ICARUS: Identification of complementary algorithms by uncovered sets. | Mario A. Muoz, Michael Kirley |
| 2016 | GECCO | A Morphogenetic Design Strategy Using a Composite CA Model. | Camilo Cruz, Justyna Karakiewicz, Michael Kirley |
| 2015 | GECCO | Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions. | Yuan Sun, Michael Kirley, Saman Kumara Halgamuge |
| 2015 | GECCO | On the Selection of Decomposition Methods for Large Scale Fully Non-separable Problems. | Yuan Sun, Michael Kirley, Saman Kumara Halgamuge |
| 2014 | GECCO | Risk aversion and mobility in the public goods game. | Michael Kirley, Friedrich Burkhard von der Osten |
| 2014 | GECCO | Anticipatory stigmergic collision avoidance under noise. | Friedrich Burkhard von der Osten, Michael Kirley, Tim Miller |
| 2013 | CIDM | GPU-accelerated eXtended Classifier System. | Mani Abedini, Michael Kirley, Raymond Chiong, Thomas Weise |
| 2013 | PRIMA | A Multi-agent Based Migration Model for Evolving Cooperation in the Spatial N-Player Snowdrift Game. | Raymond Chiong, Michael Kirley |
| 2012 | CEC | The evolution of cooperation via stigmergic interactions. | Raymond Chiong, Michael Kirley |
| 2012 | CEC | Landscape characterization of numerical optimization problems using biased scattered data. | Mario A. Muoz, Michael Kirley, Saman K. Halgamuge |
| 2012 | CEC | Community evolution in a scientific collaboration network. | Minh Van Nguyen, Michael Kirley, Rodolfo Garca-Flores |
| 2012 | PPSN | A Meta-learning Prediction Model of Algorithm Performance for Continuous Optimization Problems. | Mario A. Muoz, Michael Kirley, Saman K. Halgamuge |
| 2011 | GECCO | Iterated n-player games on small-world networks. | Raymond Chiong, Michael Kirley |
| 2011 | PRIMA | An Agent-Based Model of Stereotype Communication. | Jens Pfau, Michael Kirley, Yoshihisa Kashima |
| 2010 | CEC | A multiple population XCS: Evolving condition-action rules based on feature space partitions. | Mani Abedini, Michael Kirley |
| 2010 | CEC | Imitation vs evolution: Analysing the effects of strategy update mechanisms in N-player social dilemmas. | Raymond Chiong, Michael Kirley |
| 2009 | CEC | The Pareto-Following Variation Operator as an alternative approximation model. | A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya |
| 2008 | CEC | An analysis of the effects of clustering in graph-based evolutionary algorithms. | Cherhan Foo, Michael Kirley |
| 2008 | CEC | A Pareto following variation operator for evolutionary dynamic multi-objective optimization. | A. K. M. Khaled Ahsan Talukder, Michael Kirley |
| 2008 | GECCO | A pareto following variation operator for fast-converging multiobjective evolutionary algorithms. | A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya |
| 2008 | PAKDD | Forecasting Urban Air Pollution Using HMM-Fuzzy Model. | M. Maruf Hossain, Md. Rafiul Hassan, Michael Kirley |
| 2007 | CEC | On performance metrics and particle swarm methods for dynamic multiobjective optimization problems. | Xiaodong Li, Jrgen Branke, Michael Kirley |
| 2007 | EMO | Multiobjective Evolutionary Algorithms on Complex Networks. | Michael Kirley, Robert L. Stewart |
| 2007 | GECCO | An analysis of the effects of population structure on scalable multiobjective optimization problems. | Michael Kirley, Robert L. Stewart |
| 2007 | GECCO | Performance measures and particle swarm methods for dynamic multi-objective optimization problems. | Xiaodong Li, Jrgen Branke, Michael Kirley |
| 2007 | GECCO | Swarming with logic. | Robert L. Stewart, Michael Kirley |
| 2007 | Middleware | Multiobjective differential evolution for workflow execution on grids. | A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya |
| 2006 | CEC | moPGA: Towards a New Generation of Multi-objective Genetic Algorithms. | Harold Soh, Michael Kirley |
| 2006 | GECCO | Dominance hierarchies and social diversity in multi-agent systems. | Michael Kirley |
| 2006 | ICCS | Pedestrian Modelling: A Comparative Study Using Agent-Based Cellular Automata. | Nicole Ronald, Michael Kirley |
| 2005 | KES | Mining Classification Rules Using Evolutionary Multi-objective Algorithms. | Kalyanaraman Kaesava Kshetrapalapuram, Michael Kirley |
| 2004 | GECCO | Cooperative Problem Solving Using an Agent-Based Market. | David Cornforth, Michael Kirley |
| 2002 | CEC | The effects of varying population density in a fine-grained parallel genetic algorithm. | Xiaodong Li, Michael Kirley |
| 2001 | CEC | MEA: a metapopulation evolutionary algorithm for multi-objective optimisation problems. | Michael Kirley |
| 2000 | GECCO | An Empirical Investigation of Optimization in Dynamic Environments Using the Cellular Genetic Algorithm. | Michael Kirley, David G. Green |
| 1999 | KES | A coevolutiouary genetic algorithm for job shop scheduling problems. | Michael Kirley |